Triple
T14909780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen John Nash |
E371229
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Stephen John Nash |
E371229
|
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: Stephen John Nash | Statement: [Stephen John Nash, fullName, Stephen John Nash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen John Nash Context triple: [Stephen John Nash, fullName, Stephen John Nash]
-
A.
Stephen John Nash
chosen
Stephen John Nash is a Canadian former professional basketball player and two-time NBA Most Valuable Player widely regarded as one of the greatest point guards in NBA history.
-
B.
Chris Nash
Chris Nash is an actor known for his role in the 1985 romantic comedy film "The Slugger’s Wife."
-
C.
Michael Nash
Michael Nash is a musician best known as a member of the R&B and soul group Rose Royce.
-
D.
Brian Nash
Brian Nash is an English guitarist best known as a member of the 1980s pop band Frankie Goes to Hollywood.
-
E.
Brian Nash
Brian Nash is an author known for his work on the book "Relax."
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61c6b9c8190a92934d49b98fe46 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72bb366481909706d511f5ae1290 |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:26 a.m.