Triple
T3826648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Ward as John Anglin |
E88705
|
entity |
| Predicate | characterStatusInStory |
P52203
|
FINISHED |
| Object | inmate |
—
|
LITERAL 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: inmate | Statement: [Fred Ward as John Anglin, characterStatusInStory, inmate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterStatusInStory Context triple: [Fred Ward as John Anglin, characterStatusInStory, inmate]
-
A.
characterIn
Indicates that an entity appears as a character within a specified work, story, or narrative.
-
B.
narrativeCharacter
Indicates that one entity functions as a character within the narrative or story associated with another entity.
-
C.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
-
D.
featuresCharacterRole
Indicates that a work includes a character appearing in a specific narrative or functional role.
-
E.
characterSingersInStory
Indicates that a character performs singing within the context of a story.
- F. None of above. chosen
Provenance (4 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb8459f881908a2c91bb07e381ef |
completed | March 9, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69aee74c2e04819094b94b3c0bac1806 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeeb828fb08190901d51edbe8bd304 |
completed | March 9, 2026, 3:47 p.m. |
Created at: March 9, 2026, 3:17 p.m.