Triple
T7471866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crawford |
E176525
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Jamal Crawford |
E242528
|
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: Jamal Crawford | Statement: [Crawford, hasNotableBearer, Jamal Crawford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamal Crawford Context triple: [Crawford, hasNotableBearer, Jamal Crawford]
-
A.
Jamal Crawford
chosen
Jamal Crawford is an American former NBA guard renowned for his elite ball-handling, prolific scoring off the bench, and record three Sixth Man of the Year awards.
-
B.
Sean Whalen
Sean Whalen is an American character actor known for his distinctive, often quirky roles in film and television, including horror and cult favorites.
-
C.
John Jenkins
John Jenkins was a British politician who formerly served as the Member of Parliament for the Reigate constituency in the United Kingdom.
-
D.
Jerramy Stevens
Jerramy Stevens is a former American football tight end who played in the NFL, primarily for the Seattle Seahawks and Tampa Bay Buccaneers.
-
E.
Scott Chestnut
Scott Chestnut is a film editor best known for his work on the World War II drama "The Great Raid."
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f415b5cc81909e1e097c90f460b6 |
completed | March 27, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83480a40c8190a7ae3e08022735a1 |
completed | March 28, 2026, 8:05 p.m. |
Created at: March 27, 2026, 3:41 p.m.