Triple
T6115079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmitt James Smith III |
E136339
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Emmitt |
E133973
|
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: Emmitt | Statement: [Emmitt James Smith III, givenName, Emmitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emmitt Context triple: [Emmitt James Smith III, givenName, Emmitt]
-
A.
Emmitt
chosen
Emmitt is a masculine given name most famously associated with Pro Football Hall of Fame running back Emmitt Smith.
-
B.
Payton
Payton is the surname of Sean Payton, a prominent American football coach best known for his long tenure with the New Orleans Saints.
-
C.
Terrell
Terrell is a masculine given name most notably associated with American athletes, particularly in professional football and basketball.
-
D.
Tully Marshall
Tully Marshall was an American character actor of the silent and early sound film era, known for his prolific work in supporting roles across numerous Hollywood productions.
-
E.
Ottis Anderson
Ottis Anderson is a former NFL running back best known for his standout career with the St. Louis Cardinals and New York Giants, including a pivotal role in the Giants’ early 1990s success.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bc0bee08190ab93eae34ea8cdde |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1256aa9f8819090fdc98343af6f8e |
completed | March 23, 2026, 11:35 a.m. |
Created at: March 22, 2026, 4:14 p.m.