Triple
T10978072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darren Fletcher |
E259424
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Darren |
E343168
|
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: Darren | Statement: [Darren Fletcher, givenName, Darren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darren Context triple: [Darren Fletcher, givenName, Darren]
-
A.
Darren
chosen
Darren is a masculine given name commonly used in English-speaking countries.
-
B.
Darren
Darren is a fictional continent located on the planet Skaro in the Doctor Who universe.
-
C.
Darrell
Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
-
D.
Darren Albert
Darren Albert is a former Australian rugby league winger best known for scoring the last-minute try that won the 1997 ARL Grand Final for the Newcastle Knights.
-
E.
Darren Ward
Darren Ward is a former professional footballer best known as an English central defender who played for clubs including Watford, Millwall, Crystal Palace, and Wolverhampton Wanderers.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f6a9448190b3932ee801ae0da9 |
completed | April 9, 2026, 9:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d7bcea448190b09906c79de67496 |
completed | April 18, 2026, 1 a.m. |
Created at: April 8, 2026, 9:24 p.m.