Triple
T18114470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin Dior Combs |
E433566
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Combs |
—
|
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: Combs | Statement: [Justin Dior Combs, familyName, Combs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Combs Context triple: [Justin Dior Combs, familyName, Combs]
-
A.
Combs
chosen
Combs is a surname of English origin borne by various notable individuals across fields such as entertainment, sports, and politics.
-
B.
Combs
Combs is a village and civil parish in Suffolk, England, situated near the town of Stowmarket.
-
C.
King Combs
King Combs is an American rapper, singer, and model, best known as the son of Sean "Diddy" Combs and for his nostalgic, 1990s-inspired hip-hop and R&B music.
-
D.
Blacko
Blacko is a small rural village in Lancashire, England, known for its scenic countryside and landmark Blacko Tower.
-
E.
Namba Hips
Namba Hips is a distinctive commercial and entertainment complex in Osaka’s Namba district, known for its striking curved façade and shopping, dining, and leisure facilities.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd4c7888190b85c39decdb0333f |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.