Triple
T2951298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LSI Logic |
E79824
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Bill O’Meara
Bill O’Meara is a technology entrepreneur best known as a founder of the semiconductor company LSI Logic.
|
E313790
|
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 O’Meara | Statement: [LSI Logic, foundedBy, Bill O’Meara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill O’Meara Context triple: [LSI Logic, foundedBy, Bill O’Meara]
-
A.
Donald Malarkey
Donald Malarkey was a real-life U.S. Army paratrooper of Easy Company, 506th Parachute Infantry Regiment, whose World War II service was famously depicted in the miniseries "Band of Brothers."
-
B.
Jim O’Brien
Jim O’Brien is a former American football placekicker best known for kicking the game-winning field goal for the Baltimore Colts in Super Bowl V.
-
C.
Cam Neely
Cam Neely is a Hall of Fame Canadian power forward renowned for his prolific scoring, physical play, and later role as an executive with the Boston Bruins in the NHL.
-
D.
Mike Gartner
Mike Gartner is a Canadian Hall of Fame right winger renowned as one of the NHL’s most prolific goal scorers, surpassing 700 career goals over a 19-season career.
-
E.
William Shea
William Shea is an editor known for his work on the film "The Wedding March."
- 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 O’Meara Triple: [LSI Logic, foundedBy, Bill O’Meara]
Generated description
Bill O’Meara is a technology entrepreneur best known as a founder of the semiconductor company LSI Logic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bill O’Meara Target entity description: Bill O’Meara is a technology entrepreneur best known as a founder of the semiconductor company LSI Logic.
-
A.
Donald Malarkey
Donald Malarkey was a real-life U.S. Army paratrooper of Easy Company, 506th Parachute Infantry Regiment, whose World War II service was famously depicted in the miniseries "Band of Brothers."
-
B.
Jim O’Brien
Jim O’Brien is a former American football placekicker best known for kicking the game-winning field goal for the Baltimore Colts in Super Bowl V.
-
C.
Cam Neely
Cam Neely is a Hall of Fame Canadian power forward renowned for his prolific scoring, physical play, and later role as an executive with the Boston Bruins in the NHL.
-
D.
Mike Gartner
Mike Gartner is a Canadian Hall of Fame right winger renowned as one of the NHL’s most prolific goal scorers, surpassing 700 career goals over a 19-season career.
-
E.
William Shea
William Shea is an editor known for his work on the film "The Wedding March."
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98fbb7d4819081c241f3ff9165e5 |
completed | March 8, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc7edc808190863ec8f99efa3875 |
completed | March 11, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69b0fd7d1cc88190a4f533a92d7e6de3 |
completed | March 11, 2026, 5:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0fde74b608190b59da720c90adfeb |
completed | March 11, 2026, 5:30 a.m. |
Created at: March 8, 2026, 2:57 p.m.