Triple
T17640338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trifling Women |
E429206
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Edward Connelly |
—
|
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: Edward Connelly | Statement: [Trifling Women, starring, Edward Connelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Connelly Context triple: [Trifling Women, starring, Edward Connelly]
-
A.
Edward Connelly
chosen
Edward Connelly was an American character actor of the silent film era, known for his supporting roles in numerous early Hollywood productions.
-
B.
David Connell
David Connell was a pioneering television producer best known for helping develop and shape influential educational children's programming, including early work on "Sesame Street."
-
C.
David Connell
David Connell is a cinematographer known for his work on films such as "The Librarian: Curse of the Judas Chalice."
-
D.
George Connor
George Connor was a Hall of Fame American football linebacker and tackle who starred for the Chicago Bears in the 1940s and 1950s and later worked as a broadcaster.
-
E.
John Connaughton
John Connaughton is a prominent American private equity executive and co-managing partner at Bain Capital, known for leading the firm’s global private equity and healthcare investment strategies.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46de50bf481909e938613b38f0202 |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 6:02 a.m.