Triple
T13269909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hakim Warrick |
E316027
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hakim |
E1010561
|
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: Hakim | Statement: [Hakim Warrick, givenName, Hakim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hakim Context triple: [Hakim Warrick, givenName, Hakim]
-
A.
Hakim
chosen
Hakim is a surname of Arabic origin commonly borne by individuals in various Muslim and Middle Eastern communities.
-
B.
Hakeem
Hakeem is a male given name most famously associated with Hall of Fame NBA center Hakeem Olajuwon.
-
C.
Jaffar
Jaffar is the sinister vizier and main antagonist portrayed by Conrad Veidt in the 1940 fantasy film "The Thief of Bagdad."
-
D.
Cassim
Cassim is Ali Baba’s wealthy but greedy older brother in the classic Middle Eastern folk tale "Ali Baba and the Forty Thieves."
-
E.
Dr Amir
Dr Amir is a music producer best known for his work with the artist Empress.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901f59888190b8147836d2fcac5e |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a4e98888190af5cb857b2437f09 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:26 p.m.