Triple
T6277721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merry Christmas |
E140702
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Daryl Simmons |
E175259
|
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: Daryl Simmons | Statement: [Merry Christmas, producer, Daryl Simmons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daryl Simmons Context triple: [Merry Christmas, producer, Daryl Simmons]
-
A.
Daryl Simmons
chosen
Daryl Simmons is an American songwriter and producer best known for his work on numerous R&B and pop hits, often in collaboration with Babyface and L.A. Reid.
-
B.
Daryl Hicks
Daryl Hicks is a notable individual recognized for achievements significant enough to be distinguished among people sharing the surname Hicks.
-
C.
Darin Cunningham
Darin Cunningham is an electronic music producer and DJ best known for his experimental work under the moniker Actress.
-
D.
Warren Simmons
Warren Simmons is an American real estate developer best known for creating San Francisco’s popular waterfront attraction Pier 39.
-
E.
Darryl Hickman
Darryl Hickman is an American former child actor and film and television performer known for roles in classic Hollywood films and later work as a television executive and acting coach.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063daec108190859d1d5dbafd5b42 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c673f891d08190ad10070bc3a71d76 |
completed | March 27, 2026, 12:11 p.m. |
Created at: March 22, 2026, 4:26 p.m.