Triple
T12565881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hakeem Jeffries |
E295476
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hakeem |
E660391
|
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: Hakeem | Statement: [Hakeem Jeffries, givenName, Hakeem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hakeem Context triple: [Hakeem Jeffries, givenName, Hakeem]
-
A.
Hakeem
chosen
Hakeem is a male given name most famously associated with Hall of Fame NBA center Hakeem Olajuwon.
-
B.
Khari Mateen
Khari Mateen is an American musician, producer, and composer known for his work with The Roots and contributions to hip-hop, soul, and film scores.
-
C.
Mr. Khaliyl
Mr. Khaliyl is a hip-hop music producer best known for his work on Mos Def’s acclaimed album "Black on Both Sides."
-
D.
Hafik
Hafik is a small town and district in central Turkey known for its rural character and location within Sivas Province in Central Anatolia.
-
E.
Bakhawan
Bakhawan is a coastal barangay of the municipality of Daanbantayan in Cebu, Philippines.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9549611c081909e611756f3cce7f0 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6558f87b081909ba179b49bae3913 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 11:49 p.m.