Triple
T16156658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth Myers |
E392059
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Nick Allder
Nick Allder is a British special effects supervisor and visual effects artist known for his work on films such as "Alien" and "The Fifth Element."
|
E1197290
|
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: Nick Allder | Statement: [Ruth Myers, spouse, Nick Allder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Allder Context triple: [Ruth Myers, spouse, Nick Allder]
-
A.
Nick Roud
Nick Roud is an actor known for his role in the film "Finding Neverland."
-
B.
Nick Ramm
Nick Ramm is a musician and keyboardist best known for his work with the British nu-jazz and electronic group The Cinematic Orchestra.
-
C.
Nick Caistor
Nick Caistor is a British translator and writer renowned for bringing major works of Spanish and Latin American literature, including novels by Isabel Allende, into English.
-
D.
Nick Evers
Nick Evers is one of the children of Tony Evers, the Governor of Wisconsin.
-
E.
Nick Gillard
Nick Gillard is a British stunt coordinator and fight choreographer best known for designing the iconic lightsaber duels in the Star Wars prequel trilogy.
- 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: Nick Allder Triple: [Ruth Myers, spouse, Nick Allder]
Generated description
Nick Allder is a British special effects supervisor and visual effects artist known for his work on films such as "Alien" and "The Fifth Element."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nick Allder Target entity description: Nick Allder is a British special effects supervisor and visual effects artist known for his work on films such as "Alien" and "The Fifth Element."
-
A.
Nick Roud
Nick Roud is an actor known for his role in the film "Finding Neverland."
-
B.
Nick Ramm
Nick Ramm is a musician and keyboardist best known for his work with the British nu-jazz and electronic group The Cinematic Orchestra.
-
C.
Nick Caistor
Nick Caistor is a British translator and writer renowned for bringing major works of Spanish and Latin American literature, including novels by Isabel Allende, into English.
-
D.
Nick Evers
Nick Evers is one of the children of Tony Evers, the Governor of Wisconsin.
-
E.
Nick Gillard
Nick Gillard is a British stunt coordinator and fight choreographer best known for designing the iconic lightsaber duels in the Star Wars prequel trilogy.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5aa57c8190a9d89dd57e30318f |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7b05a588190a44d1c922195a87b |
completed | May 10, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_69fff87caefc8190836d690dfb2523f9 |
completed | May 10, 2026, 3:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff98b3d7c8190bb284321d17f58e2 |
completed | May 10, 2026, 3:20 a.m. |
Created at: April 10, 2026, 5:01 a.m.