Triple
T10219185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamal Crawford |
E242528
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jamal |
E564686
|
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 | Statement: [Jamal Crawford, givenName, Jamal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamal Context triple: [Jamal Crawford, givenName, Jamal]
-
A.
Jamal
chosen
Jamal is the given name of Jamal Adeen Thomas, the son of U.S. Supreme Court Justice Clarence Thomas.
-
B.
Jamil
Jamil is a masculine given name of Arabic origin commonly used in various cultures around the world.
-
C.
Jamal Malik
Jamal Malik is the impoverished yet resourceful young man from Mumbai who becomes a game-show sensation in the film "Slumdog Millionaire."
-
D.
Hamza
Hamza is a masculine given name of Arabic origin, commonly used in the Muslim world and among Arabic-speaking communities.
-
E.
Ahmed
Ahmed is a common Arabic male given name meaning "most commendable" or "most praiseworthy."
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa715a3c8190a9ccee7bcece0346 |
completed | April 6, 2026, 12:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a81e72ec8190a30121fc1c86641e |
completed | April 8, 2026, 7:10 p.m. |
Created at: April 6, 2026, 11:08 a.m.