Triple
T1045926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Wise |
E22577
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Matthew Gregory
Matthew Gregory is the birth name of British actor Greg Wise, known for his roles in film, television, and theatre.
|
E163417
|
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: Matthew Gregory | Statement: [Greg Wise, givenName, Matthew Gregory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Gregory Context triple: [Greg Wise, givenName, Matthew Gregory]
-
A.
John Bennett
John Bennett is the central human protagonist of the comedy film "Ted 2," known for his lifelong friendship with his foul-mouthed, living teddy bear.
-
B.
John Gilroy
John Gilroy is a film editor known for his work on major Hollywood productions, including the science-fiction monster film "Pacific Rim."
-
C.
Gregory Jarvis
Gregory Jarvis was an American engineer and astronaut who served as a payload specialist on the ill-fated Space Shuttle Challenger mission STS-51-L.
-
D.
George Pardee
George Pardee was an American physician and Progressive-era politician who served as the 21st governor of California from 1903 to 1907.
-
E.
Jackson Murray
Jackson Murray is one of actor and comedian Bill Murray’s sons, known primarily for his connection to the famed entertainer.
- 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: Matthew Gregory Triple: [Greg Wise, givenName, Matthew Gregory]
Generated description
Matthew Gregory is the birth name of British actor Greg Wise, known for his roles in film, television, and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew Gregory Target entity description: Matthew Gregory is the birth name of British actor Greg Wise, known for his roles in film, television, and theatre.
-
A.
John Bennett
John Bennett is the central human protagonist of the comedy film "Ted 2," known for his lifelong friendship with his foul-mouthed, living teddy bear.
-
B.
John Gilroy
John Gilroy is a film editor known for his work on major Hollywood productions, including the science-fiction monster film "Pacific Rim."
-
C.
Gregory Jarvis
Gregory Jarvis was an American engineer and astronaut who served as a payload specialist on the ill-fated Space Shuttle Challenger mission STS-51-L.
-
D.
George Pardee
George Pardee was an American physician and Progressive-era politician who served as the 21st governor of California from 1903 to 1907.
-
E.
Jackson Murray
Jackson Murray is one of actor and comedian Bill Murray’s sons, known primarily for his connection to the famed entertainer.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b84bb0048190badf6d2f7f684d99 |
completed | March 1, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0142faf081908cf82f2b73490947 |
completed | March 8, 2026, 4:55 a.m. |
| NEDg | Description generation | batch_69ad020222708190a4b383a54418251a |
completed | March 8, 2026, 4:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad02a0c0ac8190b01cf36b76c702f0 |
completed | March 8, 2026, 5:01 a.m. |
Created at: March 1, 2026, 7:42 p.m.