Triple
T10271630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig Wion |
E240848
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Craig Wion (English) |
E240848
|
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: Craig Wion (English) | Statement: [Craig Wion, hasNameInLanguage, Craig Wion (English)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Wion (English) Context triple: [Craig Wion, hasNameInLanguage, Craig Wion (English)]
-
A.
Craig Wion
chosen
Craig Wion is a summit in the Rhinogydd mountain range of Snowdonia in north-west Wales.
-
B.
Craig Weller
Craig Weller is an American entrepreneur best known as one of the co-founders of the natural and organic grocery chain Whole Foods Market.
-
C.
Craig Weller
Craig Weller is a business figure known for co-founding an enterprise alongside Renee Lawson Hardy.
-
D.
Craig Wing
Craig Wing is an Australian former professional rugby league and rugby union footballer known for his versatility as a halfback and utility back at club and international level.
-
E.
Steven Craig
Steven Craig is best known as the former husband of acclaimed American actress Sally Field.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d27235ec819086152771206453f2 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f813c62c8190ac3bf19eff9d36e2 |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:35 a.m.