Triple
T6697901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Snead |
E152797
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Snead |
E152797
|
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: Snead | Statement: [Les Snead, familyName, Snead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snead Context triple: [Les Snead, familyName, Snead]
-
A.
Les Snead
chosen
Les Snead is an American football executive best known for building the Los Angeles Rams’ Super Bowl–winning roster through bold trades and aggressive roster moves.
-
B.
Sam Sneed
Sam Sneed is an American hip hop producer and rapper best known for his work with Death Row Records in the 1990s.
-
C.
Snodgrass
Snodgrass is a surname of English and Scottish origin borne by various notable individuals in sports, politics, and the arts.
-
D.
Earle
Earle is the middle name of Gordon E. Moore, the co-founder of Intel and originator of Moore’s Law.
-
E.
Semeka Randall
Semeka Randall is a former American college basketball star and WNBA guard best known for her standout career under coach Pat Summitt at the University of Tennessee.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0a4da9881908d79c410b4cff868 |
completed | March 27, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7bd965881908a128d97f1c94dd0 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:05 p.m.