Triple
T37152526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Chainsaw Massacre (2022 film) |
E920396
|
entity |
| Predicate | characterReprisedFrom |
P151721
|
FINISHED |
| Object | Sally Hardesty |
—
|
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: Sally Hardesty | Statement: [Texas Chainsaw Massacre (2022 film), characterReprisedFrom, Sally Hardesty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterReprisedFrom Context triple: [Texas Chainsaw Massacre (2022 film), characterReprisedFrom, Sally Hardesty]
-
A.
formerCharacter
Indicates that an entity was once a character in a work or series but is no longer an active or current character.
-
B.
isRecurringCharacter
Indicates that an entity appears repeatedly or regularly within a given narrative, series, or context rather than only once.
-
C.
characterContinuedFrom
Indicates that a character in one work is a continuation or later incarnation of the same character from an earlier work.
-
D.
leadCharacterPreviouslyAppearedIn
chosen
Indicates that the lead character of the current work has appeared before in a prior work or context.
-
E.
portrayedAgainBy
Indicates that an entity is depicted or represented once more by the same or another agent, typically in a subsequent or repeated portrayal.
- F. None of above.
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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffde9263248190996f970b6cf6e49d |
completed | May 10, 2026, 1:25 a.m. |
| PD | Predicate disambiguation | batch_69ffdd760f1c8190abc6c0c1cd97ba5f |
completed | May 10, 2026, 1:20 a.m. |
Created at: May 3, 2026, 4:15 p.m.