Triple
T22914564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laraine Day |
E568695
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The People Against O’Hara |
—
|
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: The People Against O’Hara | Statement: [Laraine Day, notableWork, The People Against O’Hara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The People Against O’Hara Context triple: [Laraine Day, notableWork, The People Against O’Hara]
-
A.
The People Against O'Hara
chosen
The People Against O'Hara is a 1951 American courtroom drama film starring Spencer Tracy as a troubled lawyer defending a young man accused of murder.
-
B.
The Brouhaha
The Brouhaha is a track by the Beastie Boys featured on their 2004 hip-hop album "To the 5 Boroughs."
-
C.
The Hoose-Gow
The Hoose-Gow is a 1929 Laurel and Hardy short comedy film known for its prison-escape antics and slapstick humor.
-
D.
The Hullabaloo
The Hullabaloo is the spirited student section for Tulane University’s Green Wave football games, known for energizing the home crowd and supporting the team.
-
E.
Good-Bye Yer Honor
"Good-Bye Yer Honor" is a song featured on the blues-rock album *Kingfish* by the American band Kingfish.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18078077881908b8124cc22110c6e |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.