Triple
T23018588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hold Back the Night |
E573101
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Jonathan Haze |
—
|
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: Jonathan Haze | Statement: [Hold Back the Night, castMember, Jonathan Haze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Haze Context triple: [Hold Back the Night, castMember, Jonathan Haze]
-
A.
Jonathan Haze
chosen
Jonathan Haze is an American actor best known for his roles in low-budget 1950s and 1960s genre films, particularly his collaborations with director Roger Corman.
-
B.
Mitchell Burgess
Mitchell Burgess is an American television writer and producer best known for his work on the acclaimed HBO series *The Sopranos*.
-
C.
Ned Almond
Ned Almond was a U.S. Army lieutenant general best known for commanding X Corps during the Korean War and for his close association with General Douglas MacArthur.
-
D.
Alan Webber
Alan Webber is an American politician and former business magazine co-founder who serves as the mayor of Santa Fe, New Mexico.
-
E.
Jonathan Strahan
Jonathan Strahan is an Australian editor and anthologist best known for his influential work in science fiction and fantasy short fiction collections and magazines.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e64a4c8190b8d29ed638c7fef8 |
completed | April 29, 2026, 4:07 a.m. |
Created at: April 17, 2026, 3:52 p.m.