Triple
T13718436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Game |
E328961
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Harlem Taylor |
E328961
|
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: Harlem Taylor | Statement: [The Game, hasChild, Harlem Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harlem Taylor Context triple: [The Game, hasChild, Harlem Taylor]
-
A.
Harlem Taylor
chosen
Harlem Taylor is the son of American rapper and West Coast hip hop artist The Game.
-
B.
Ruby Aldridge
Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
-
C.
Monetta Eloyse Darnell
Monetta Eloyse Darnell was the birth name of Linda Darnell, an American film actress best known for her roles in Hollywood movies of the 1940s and 1950s.
-
D.
Arline Wilkins
Arline Wilkins was the first wife of American singer and cowboy actor Roy Rogers, married to him before his rise to major Hollywood fame.
-
E.
Renée Taylor
Renée Taylor is an American actress, comedian, and writer best known for her role as Sylvia Fine, Fran Drescher’s overbearing mother, on the sitcom *The Nanny*.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd439a121c81908cae964e7756274c |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8cd0280819081c524660f3822f3 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 9:55 p.m.