Triple
T19365422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talk a Good Game |
E484387
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Harmony Samuels |
—
|
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: Harmony Samuels | Statement: [Talk a Good Game, producer, Harmony Samuels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harmony Samuels Context triple: [Talk a Good Game, producer, Harmony Samuels]
-
A.
Harmony Samuels
chosen
Harmony Samuels is a British record producer and songwriter known for his work with major R&B and pop artists such as Ariana Grande, Chris Brown, and Jennifer Lopez.
-
B.
Emma Samms
Emma Samms is a British actress best known for her roles on popular television soap operas such as "Dynasty" and "General Hospital."
-
C.
Dionne Harris
Dionne Harris is known as the spouse of Australian actor and musician Noah Taylor.
-
D.
Samantha Winslow
Samantha Winslow is an American photographer and the wife of renowned film composer John Williams.
-
E.
Crystal Harris
Crystal Harris is a model and television personality best known as a former Playboy Playmate and the third wife of Playboy founder Hugh Hefner.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619aa9ff48190b1ede47fb88a682e |
completed | April 20, 2026, 12:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.