Triple
T21991280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jameela Jamil |
E543094
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Jamil |
—
|
NE NERFINISHED |
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: Jamil | Statement: [Jameela Jamil, familyName, Jamil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamil Context triple: [Jameela Jamil, familyName, Jamil]
-
A.
Jamil
chosen
Jamil is a masculine given name of Arabic origin commonly used in various cultures around the world.
-
B.
Jamal
Jamal is a fictional character from the 2007 Christmas-themed romantic comedy film "The Perfect Holiday."
-
C.
Jamal
Jamal is the given name of Jamal Adeen Thomas, the son of U.S. Supreme Court Justice Clarence Thomas.
-
D.
Jamail
Jamail is a surname most notably associated with Joe Jamail, a prominent and highly successful American trial lawyer.
-
E.
Jamal Malik
Jamal Malik is the impoverished yet resourceful young man from Mumbai who becomes a game-show sensation in the film "Slumdog Millionaire."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270d7cbc819086eea86be04a2ec0 |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:05 p.m.