Triple
T8153040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take Me to Church |
E190375
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object |
Conal Thomson
Conal Thomson is a music video director best known for his work on the acclaimed video for Hozier’s song "Take Me to Church."
|
E716920
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Conal Thomson | Statement: [Take Me to Church, musicVideoDirector, Conal Thomson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conal Thomson Context triple: [Take Me to Church, musicVideoDirector, Conal Thomson]
-
A.
John Longley
John Longley is the son of Charles Longley, who served as Archbishop of Canterbury in the 19th century.
-
B.
Peter Johnstone
Peter Johnstone is a British mathematician renowned for his influential work in category theory and topos theory.
-
C.
Graham Dumpleton
Graham Dumpleton is a software engineer and open-source developer best known for creating and maintaining mod_wsgi, a popular Apache module for hosting Python web applications.
-
D.
Neil Wallace
Neil Wallace is an American economist known for his influential contributions to New Classical macroeconomics, particularly in monetary theory and the microfoundations of macroeconomic models.
-
E.
Nigel Shadbolt
Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Conal Thomson Triple: [Take Me to Church, musicVideoDirector, Conal Thomson]
Generated description
Conal Thomson is a music video director best known for his work on the acclaimed video for Hozier’s song "Take Me to Church."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Conal Thomson Target entity description: Conal Thomson is a music video director best known for his work on the acclaimed video for Hozier’s song "Take Me to Church."
-
A.
John Longley
John Longley is the son of Charles Longley, who served as Archbishop of Canterbury in the 19th century.
-
B.
Peter Johnstone
Peter Johnstone is a British mathematician renowned for his influential work in category theory and topos theory.
-
C.
Graham Dumpleton
Graham Dumpleton is a software engineer and open-source developer best known for creating and maintaining mod_wsgi, a popular Apache module for hosting Python web applications.
-
D.
Neil Wallace
Neil Wallace is an American economist known for his influential contributions to New Classical macroeconomics, particularly in monetary theory and the microfoundations of macroeconomic models.
-
E.
Nigel Shadbolt
Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44d4494c8190aad2ee302e90670f |
completed | March 31, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbef9f28881909961b599d395d6df |
completed | April 1, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69ccc310b514819099228a1cc66517c5 |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd81bebf8819081b3c4efa5a9ef93 |
completed | April 1, 2026, 8:32 a.m. |
Created at: March 30, 2026, 5:37 p.m.