Triple
T15710550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cecil Gaines |
E380824
|
entity |
| Predicate | childInFiction |
P82383
|
FINISHED |
| Object | Charlie Gaines |
E635821
|
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: Charlie Gaines | Statement: [Cecil Gaines, childInFiction, Charlie Gaines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlie Gaines Context triple: [Cecil Gaines, childInFiction, Charlie Gaines]
-
A.
Charlie Gaines
chosen
Charlie Gaines is a fictional character portrayed as the son of White House butler Cecil Gaines in the film "The Butler," representing a younger generation's involvement in the civil rights movement.
-
B.
Kay Hilliard
Kay Hilliard is the central female protagonist in the 1956 musical film "The Opposite Sex," navigating love, betrayal, and personal growth within the world of high society marriages.
-
C.
Steven Gaines
Steven Gaines is an American author and journalist known for his biographies and works on popular culture, fashion, and New York society.
-
D.
Charles Roane
Charles Roane is a songwriter best known for co-writing the R&B hit "My Love Is Like...Wo" performed by Mýa.
-
E.
Charles Roane
Charles Roane is a music producer known for his work on the album "Back to Basics."
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142df48e8819083a48d3b7b3f7f5d |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa12713588190a888d6f6dd4290e1 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:45 a.m.