Triple
T23415425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dancing Lady |
E560191
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Ted Healy |
—
|
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: Ted Healy | Statement: [Dancing Lady, castMember, Ted Healy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Healy Context triple: [Dancing Lady, castMember, Ted Healy]
-
A.
Ted Healy
chosen
Ted Healy was an American vaudeville performer, comedian, and actor best known for creating and leading the act that evolved into The Three Stooges.
-
B.
John Sampson
John Sampson was a colonial-era North Carolina official and landowner after whom Sampson County was named.
-
C.
John Sampson
John Sampson is a tough, loyal Washington, D.C. detective and Alex Cross’s longtime best friend and partner in James Patterson’s crime thriller series.
-
D.
Phil Ryerson
Phil Ryerson is a comedic supporting character in the family film "Daddy Day Care," known for his humorous mishaps and interactions with the daycare staff and children.
-
E.
Timothy Crouse
Timothy Crouse is an American journalist and author best known for his influential book "The Boys on the Bus," which chronicled campaign reporting during the 1972 U.S. presidential election.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a514b1d08190bbde2c3714c996fd |
completed | April 29, 2026, 6:28 a.m. |
Created at: April 17, 2026, 5:39 p.m.