Triple
T9790009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nut Job |
E237582
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Graham Moloy
Graham Moloy is a film producer best known for his work on the animated feature "The Nut Job."
|
E824607
|
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: Graham Moloy | Statement: [The Nut Job, producer, Graham Moloy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graham Moloy Context triple: [The Nut Job, producer, Graham Moloy]
-
A.
Graham Crowley
Graham Crowley is a British painter known for his figurative and landscape works and for his influential role in contemporary British art since the late 20th century.
-
B.
Graham Sleight
Graham Sleight is a British critic and editor best known for his work in science fiction and fantasy literature.
-
C.
Graham Russell
Graham Russell is an English musician and songwriter best known as the co-founder and guitarist of the soft rock duo Air Supply.
-
D.
Graham Turner
Graham Turner is an Australian scientist and systems analyst known for his work on global sustainability and for revisiting and updating the Club of Rome’s "Limits to Growth" studies.
-
E.
Andrew Rennison
Andrew Rennison is a British public official known for serving as the inaugural Surveillance Camera Commissioner, overseeing the regulation and ethical use of CCTV and related surveillance technologies in the UK.
- 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: Graham Moloy Triple: [The Nut Job, producer, Graham Moloy]
Generated description
Graham Moloy is a film producer best known for his work on the animated feature "The Nut Job."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Graham Moloy Target entity description: Graham Moloy is a film producer best known for his work on the animated feature "The Nut Job."
-
A.
Graham Crowley
Graham Crowley is a British painter known for his figurative and landscape works and for his influential role in contemporary British art since the late 20th century.
-
B.
Graham Sleight
Graham Sleight is a British critic and editor best known for his work in science fiction and fantasy literature.
-
C.
Graham Russell
Graham Russell is an English musician and songwriter best known as the co-founder and guitarist of the soft rock duo Air Supply.
-
D.
Graham Turner
Graham Turner is an Australian scientist and systems analyst known for his work on global sustainability and for revisiting and updating the Club of Rome’s "Limits to Growth" studies.
-
E.
Andrew Rennison
Andrew Rennison is a British public official known for serving as the inaugural Surveillance Camera Commissioner, overseeing the regulation and ethical use of CCTV and related surveillance technologies in the UK.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda214875481909f39e1d4dbac1fdb |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5abb26c81909d597b65f24f9bcf |
completed | April 5, 2026, 3:23 a.m. |
| NEDg | Description generation | batch_69d1d6463fe481908e5d3f3fd22cffa4 |
completed | April 5, 2026, 3:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d6dc0bd8819082a5ad417ca87a76 |
completed | April 5, 2026, 3:28 a.m. |
Created at: March 30, 2026, 8:28 p.m.