Triple
T3671726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praise (film) |
E77894
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Dan Luscombe
Dan Luscombe is an Australian musician and composer best known for his work scoring films and contributing to various rock and indie music projects.
|
E377517
|
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: Dan Luscombe | Statement: [Praise (film), musicBy, Dan Luscombe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Luscombe Context triple: [Praise (film), musicBy, Dan Luscombe]
-
A.
Geoffrey Haslam
Geoffrey Haslam is a record producer best known for his work on Bette Midler’s debut album "The Divine Miss M."
-
B.
John Leeson
John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
-
C.
Colin Hanton
Colin Hanton is an English drummer best known for playing with The Quarrymen, the skiffle group that evolved into The Beatles.
-
D.
Christopher Holmes
Christopher Holmes is an editor known for his work on the film "Five Easy Pieces."
-
E.
David Langford
David Langford is a British science fiction author, critic, and fan writer renowned for his long-running fanzine "Ansible" and his multiple Hugo Awards for fan writing.
- 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: Dan Luscombe Triple: [Praise (film), musicBy, Dan Luscombe]
Generated description
Dan Luscombe is an Australian musician and composer best known for his work scoring films and contributing to various rock and indie music projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Luscombe Target entity description: Dan Luscombe is an Australian musician and composer best known for his work scoring films and contributing to various rock and indie music projects.
-
A.
Geoffrey Haslam
Geoffrey Haslam is a record producer best known for his work on Bette Midler’s debut album "The Divine Miss M."
-
B.
John Leeson
John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
-
C.
Colin Hanton
Colin Hanton is an English drummer best known for playing with The Quarrymen, the skiffle group that evolved into The Beatles.
-
D.
Christopher Holmes
Christopher Holmes is an editor known for his work on the film "Five Easy Pieces."
-
E.
David Langford
David Langford is a British science fiction author, critic, and fan writer renowned for his long-running fanzine "Ansible" and his multiple Hugo Awards for fan writing.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42de1bc819090e19dd0805f13a1 |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b488526214819092abb95f7cf119d5 |
completed | March 13, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_69b48acb7dfc8190a862dce9a22c5c8f |
completed | March 13, 2026, 10:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4af280b688190a35a227f7581a9ae |
completed | March 14, 2026, 12:43 a.m. |
Created at: March 8, 2026, 3:25 p.m.