Triple
T19546721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Littlefield |
E489079
|
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 Littlefield, appearedIn, Hellgate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hellgate Context triple: [Jack Littlefield, appearedIn, Hellgate]
-
A.
Hellgate
chosen
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 science fiction novel by Jack Gordon, known for its blend of futuristic adventure and speculative themes.
-
C.
Hellgate
Hellgate is a work created by Jack Lewis, likely a piece of fiction or media for which he is best known.
-
D.
"Hellgate"
"Hellgate" is a modern military thriller novel by Jack Carr, featuring former Navy SEAL James Reece in a high-stakes, geopolitically charged mission.
-
E.
Hells Gates
Hells Gates is a notable natural feature near Granite Bay, likely characterized by rugged terrain or striking rock formations that make it a recognizable local landmark.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d2d8a6081908e9bb3a6f5d85896 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.