Triple
T13104771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariel Hemingway |
E310815
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Delirious |
E726148
|
NE FINISHED |
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: Delirious | Statement: [Mariel Hemingway, notableWork, Delirious]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delirious Context triple: [Mariel Hemingway, notableWork, Delirious]
-
A.
Delirious
chosen
Delirious is a 1991 fantasy-comedy film starring John Candy as a soap-opera writer who finds himself trapped inside his own show.
-
B.
Delirious
"Delirious" is a song by Prince, known for its upbeat synth-pop sound and playful lyrics, originally released on his 1982 album "1999."
-
C.
Lost and Delirious
Lost and Delirious is a 2001 Canadian drama film about the intense and tragic romantic relationship between two girls at a boarding school.
-
D.
Dark Delusion
Dark Delusion is a 1947 American drama film, part of MGM’s Dr. Kildare/Dr. Gillespie series, in which Lucille Bremer plays a leading role.
-
E.
The Crazed
"The Crazed" is a novel by Chinese-American author Ha Jin that explores the psychological and political turmoil of post-Cultural Revolution China through a graduate student's relationship with his ailing mentor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98153255c8190b6ab64ac0c4716f8 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e277b89c8190a0d895eb46836525 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:05 p.m.