Triple
T16436048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Aldridge |
E399181
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Aldridge |
E40974
|
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: Aldridge | Statement: [Tommy Aldridge, familyName, Aldridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aldridge Context triple: [Tommy Aldridge, familyName, Aldridge]
-
A.
Aldridge
chosen
Aldridge is an English-origin surname borne by various notable individuals in fields such as sports, entertainment, and the arts.
-
B.
Aldredge
Aldredge is the surname of Theoni V. Aldredge, a renowned Greek-American costume designer celebrated for her work in theater and film.
-
C.
Tyner
Tyner is the surname of renowned American jazz pianist and composer McCoy Tyner, closely associated with the John Coltrane Quartet and influential modal jazz recordings.
-
D.
Arzell
Arzell is the given first name of American blues singer Z.Z. Hill, known for his influential soul-blues recordings in the 1970s and 1980s.
-
E.
Montalbert
Montalbert is a village-level ski resort area that forms part of the larger La Plagne ski domain in the French Alps.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba224988190b7cccc42f35e54de |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0045893c5481909e5ffa9460dc5b3d |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:10 a.m.