Triple
T23226543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pardners |
E581030
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Pat Crowley |
—
|
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: Pat Crowley | Statement: [Pardners, hasCastMember, Pat Crowley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pat Crowley Context triple: [Pardners, hasCastMember, Pat Crowley]
-
A.
Pat Crowley
chosen
Pat Crowley is an American actress known for her work in film and television during the 1950s and 1960s, including prominent roles in romantic comedies and dramas.
-
B.
Ed Burke
Ed Burke is a filmmaker best known for co-directing the intimate 2013 HBO documentary about Beyoncé’s life and career, "Life Is But a Dream."
-
C.
Ed Burke
Ed Burke is a music producer best known for his work on Beyoncé’s concert film and live album "Homecoming."
-
D.
Tom O'Connor
Tom O'Connor is a screenwriter best known for his work on films such as "Hart's War."
-
E.
Patrick Crowley
Patrick Crowley is a film producer best known for his work on major Hollywood action and franchise films, including entries in the Bourne and Jurassic World series.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1922e2d2c81908c0f3fa5df8a5c58 |
completed | April 29, 2026, 5:07 a.m. |
Created at: April 17, 2026, 4:09 p.m.