Triple
T35867294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darkness Falls (2003 film) |
E1037120
|
entity |
| Predicate | antagonistIdentity |
P118781
|
FINISHED |
| Object | spirit of Matilda Dixon, a wrongfully lynched woman |
—
|
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: spirit of Matilda Dixon, a wrongfully lynched woman | Statement: [Darkness Falls (2003 film), antagonistIdentity, spirit of Matilda Dixon, a wrongfully lynched woman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: antagonistIdentity Context triple: [Darkness Falls (2003 film), antagonistIdentity, spirit of Matilda Dixon, a wrongfully lynched woman]
-
A.
antagonistAlterEgoOf
Indicates that one entity serves as the primary opposing force or enemy of another entity’s alternate identity or secret persona.
-
B.
antagonistOccupation
Indicates the role, job, or professional activity that the antagonist character performs.
-
C.
nicknameOfAntagonist
Indicates that one entity is a nickname or informal name used for an antagonist entity in a work or context.
-
D.
antagonistActorRole
Indicates that an actor plays the role of an antagonist in a given work or context.
-
E.
leadAntagonistCharacter
chosen
Indicates that one character serves as the primary opposing or villainous force in relation to another entity in the narrative.
- 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_69f76e1d279c8190843e5b64a0a12c3f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa3883d48190b05e3d2da7a017ae |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.