Triple
T21169309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WoZ |
E521651
|
entity |
| Predicate | coFoundedBy |
P3263
|
FINISHED |
| Object | Alex Fielding |
—
|
NE NERFINISHED |
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: Alex Fielding | Statement: [WoZ, coFoundedBy, Alex Fielding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Fielding Context triple: [WoZ, coFoundedBy, Alex Fielding]
-
A.
Alex Fielding
chosen
Alex Fielding is a technology entrepreneur and engineer known for co-founding multiple innovative companies in fields such as robotics, space, and advanced computing.
-
B.
Dan Fielding
Dan Fielding is a lecherous yet sharp-tongued prosecutor from the sitcom "Night Court," best known for his womanizing ways and sarcastic wit.
-
C.
Richard Field
Richard Field is a notable former pupil of The King’s New School, recognized for his subsequent achievements beyond the institution.
-
D.
Richard Field
Richard Field was an Elizabethan printer and publisher best known for printing several of William Shakespeare’s works.
-
E.
Richard Fielding
Richard Fielding is a writer known for his work on the comic book series "The Adventures of Superman."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72711be9481909f16107b71d3500a |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.