Triple
T23491966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fleet’s In |
E570699
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | William Shea |
—
|
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: William Shea | Statement: [The Fleet’s In, editedBy, William Shea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Shea Context triple: [The Fleet’s In, editedBy, William Shea]
-
A.
William Shea
chosen
William Shea is an editor known for his work on the film "The Wedding March."
-
B.
Jack Shea
Jack Shea was an American speed skater who became a double gold medalist at the 1932 Winter Olympics and one of the early stars of U.S. winter sports.
-
C.
Michael Shea
Michael Shea is a fictional character from the long-running American soap opera "As the World Turns," known primarily for his marriage to Lisa Miller Hughes.
-
D.
Michael Shea
Michael Shea was a prominent theater entrepreneur and impresario whose legacy in the performing arts is commemorated by the naming of Shea’s Performing Arts Center.
-
E.
Roy Sweeney
Roy Sweeney is the central protagonist of the film "Flesh and Bone," around whom the story’s dramatic events and character relationships revolve.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7dc631c819099027e3a1c755a66 |
completed | April 29, 2026, 6:40 a.m. |
Created at: April 17, 2026, 6:05 p.m.