Triple
T20207660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Daley |
E493396
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Hellgate |
—
|
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: Hellgate | Statement: [Jack Daley, appearedIn, Hellgate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hellgate Context triple: [Jack Daley, appearedIn, Hellgate]
-
A.
Hellgate
Hellgate is a 1952 American Western film starring Sterling Hayden as a falsely accused Civil War veteran sent to a brutal desert prison.
-
B.
Hellgate
Hellgate is a novel by Canadian author Jack Richardson, recognized for its dark, suspenseful exploration of crime and psychological tension.
-
C.
Hellgate
chosen
Hellgate is a science fiction novel by Jack Daley, noted for its action-driven narrative and imaginative world-building.
-
D.
Hellgate
Hellgate is a science fiction novel by Jack Gordon, known for its blend of futuristic adventure and speculative themes.
-
E.
Hellgate
Hellgate is a work created by Jack Lewis, likely a piece of fiction or media for which he is best known.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d934f808190bbfeb96f5bf2dfb9 |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:38 p.m.