Triple
T15793830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garry |
E382924
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Gareth |
E460356
|
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: Gareth | Statement: [Garry, relatedName, Gareth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gareth Context triple: [Garry, relatedName, Gareth]
-
A.
Gareth
chosen
Gareth is a masculine given name of Welsh origin, commonly used in English-speaking countries.
-
B.
Rhys
Rhys is a masculine given name of Welsh origin, commonly used in English-speaking countries.
-
C.
Gareth Wiley
Gareth Wiley is a British film producer best known for his collaborations with director Woody Allen on several critically acclaimed films.
-
D.
Gareth Charles
Gareth Charles is a Welsh sports broadcaster and commentator known for his work covering rugby and other sports on Welsh-language media.
-
E.
Sir Gareth
Sir Gareth is a knight of Arthurian legend, renowned as one of the Knights of the Round Table and celebrated for his chivalry and heroic exploits.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4db55308190875a04f982c44cea |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90ab23048190a6d976c9a3143647 |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.