Triple
T941627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Compaq |
E20318
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Bill Murto
Bill Murto is an American businessman best known as one of the three co-founders of the computer company Compaq.
|
E122816
|
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: Bill Murto | Statement: [Compaq, foundedBy, Bill Murto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Murto Context triple: [Compaq, foundedBy, Bill Murto]
-
A.
Ronald Mariano
Ronald Mariano is an American politician serving as Speaker of the Massachusetts House of Representatives.
-
B.
Mike Sullivan
Mike Sullivan is an American professional ice hockey coach best known for leading the Pittsburgh Penguins to multiple Stanley Cup championships.
-
C.
Paul Merolla
Paul Merolla is a neuroscientist and engineer best known as a co-founder of Neuralink, the neurotechnology company developing brain–computer interfaces.
-
D.
Mike Spano
Mike Spano is an American politician who has served as the mayor of Yonkers, New York, and is known for his long involvement in local and state government.
-
E.
Anthony Katagas
Anthony Katagas is an American film producer known for his work on acclaimed independent and studio films, including collaborations with prominent directors such as James Gray.
- 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: Bill Murto Triple: [Compaq, foundedBy, Bill Murto]
Generated description
Bill Murto is an American businessman best known as one of the three co-founders of the computer company Compaq.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bill Murto Target entity description: Bill Murto is an American businessman best known as one of the three co-founders of the computer company Compaq.
-
A.
Ronald Mariano
Ronald Mariano is an American politician serving as Speaker of the Massachusetts House of Representatives.
-
B.
Mike Sullivan
Mike Sullivan is an American professional ice hockey coach best known for leading the Pittsburgh Penguins to multiple Stanley Cup championships.
-
C.
Paul Merolla
Paul Merolla is a neuroscientist and engineer best known as a co-founder of Neuralink, the neurotechnology company developing brain–computer interfaces.
-
D.
Mike Spano
Mike Spano is an American politician who has served as the mayor of Yonkers, New York, and is known for his long involvement in local and state government.
-
E.
Anthony Katagas
Anthony Katagas is an American film producer known for his work on acclaimed independent and studio films, including collaborations with prominent directors such as James Gray.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b38cc6888190b1d9043ec8fbcbc3 |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42851b8881908b2625e3cb34cb6c |
completed | March 7, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ac42f4d51c81908a39c05213da4633 |
completed | March 7, 2026, 3:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac436720a88190b88ffd74956f5bf5 |
completed | March 7, 2026, 3:25 p.m. |
Created at: March 1, 2026, 7:40 p.m.