Triple
T15912786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Signetics |
E385888
|
entity |
| Predicate | hasFounder |
P104
|
FINISHED |
| Object | David Allison |
E385888
|
NE FINISHED |
How this triple was built (2 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: David Allison | Statement: [Signetics, hasFounder, David Allison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Allison Context triple: [Signetics, hasFounder, David Allison]
-
A.
David Allison
chosen
David Allison is a technology entrepreneur best known as one of the founders of the early semiconductor company Signetics.
-
B.
David Carl Allison
David Carl Allison was an American NASCAR driver best known as a rising star in the late 1980s and early 1990s before his career was tragically cut short by a helicopter crash.
-
C.
Ian Allison
Ian Allison is a Canadian sports executive best known for his leadership role as chairman of professional soccer club Cavalry FC.
-
D.
Ian Dunn
Ian Dunn is a British actor known for his work in television, film, and theatre, and for being married to the late actress Emma Chambers.
-
E.
Daniel Christopher Allison
Daniel Christopher Allison is an American orthopedic surgeon best known as the husband of actress Monica Potter.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156601c988190b9bd0cd75897651b |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf11fd1481909f460cfa4485d3e3 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:52 a.m.