Triple
T5668973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Fox |
E124925
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | William Fox |
E124925
|
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: William Fox | Statement: [William Fox, name, William Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Fox Context triple: [William Fox, name, William Fox]
-
A.
William Fox
chosen
William Fox was a pioneering American film producer and studio executive who founded the movie company that later became 20th Century Fox.
-
B.
Robert Fox
Robert Fox is a British film and theatre producer known for his work on acclaimed stage and screen productions.
-
C.
Richard Bancroft
Richard Bancroft was an influential English churchman and Archbishop of Canterbury who played a key role in overseeing the production of the King James Bible.
-
D.
Thomas Barton
Thomas Barton is a technology entrepreneur best known as the founder of Rackable Systems, a company specializing in high-density server and data center solutions.
-
E.
Christopher Fairbank
Christopher Fairbank is a British character actor known for his distinctive features and roles in film and television, including appearances in productions such as "Auf Wiedersehen, Pet" and various Shakespearean adaptations.
- 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_69c00828906881908966f270b8f130cf |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0234891d48190bf662f38ef84d4f3 |
completed | March 22, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04dafb6b081909c5bf1527f185819 |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 3:43 p.m.