Triple
T15414331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldie Loc |
E369174
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Goldie Loc |
E369174
|
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: Goldie Loc | Statement: [Goldie Loc, name, Goldie Loc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goldie Loc Context triple: [Goldie Loc, name, Goldie Loc]
-
A.
Goldie Loc
chosen
Goldie Loc is an American West Coast rapper best known as a member of the Long Beach group Tha Eastsidaz and for frequent collaborations with Snoop Dogg.
-
B.
Courtney Rose
Courtney Rose is the idealistic young rapper-turned-politician who becomes mayor in the television series "The Mayor."
-
C.
San Monique
San Monique is a fictional Caribbean island nation in the James Bond universe, prominently featured as Dr. Kananga’s stronghold in the film "Live and Let Die."
-
D.
Roxanne Shanté
Roxanne Shanté is an American hip hop pioneer and battle rapper best known as a founding member of the Juice Crew and one of the first prominent female MCs in rap.
-
E.
Deniece Williams
Deniece Williams is an American soul and R&B singer best known for her powerful four-octave range and hits like "Let's Hear It for the Boy."
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ea7561481909b04e613e2352f82 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cf0e90c8190a339e6fca53a02d8 |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 3:20 a.m.