Triple
T29454738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damien (TV series) |
E747068
|
entity |
| Predicate | characterRoleOfDamienThorn |
P192169
|
FINISHED |
| Object | Antichrist |
—
|
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: Antichrist | Statement: [Damien (TV series), characterRoleOfDamienThorn, Antichrist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterRoleOfDamienThorn Context triple: [Damien (TV series), characterRoleOfDamienThorn, Antichrist]
-
A.
describesCharacterRole
chosen
Indicates that one entity specifies or defines the narrative or functional role played by another entity.
-
B.
roleInKnightfall
Indicates that an entity has a specific role or participation in the context of "Knightfall" (such as a project, event, or production) in relation to another entity.
-
C.
roleInComics
Indicates that an entity holds a specific role or function within the context of comic books or comic-related works.
-
D.
roleInWatchmen
Indicates that one entity has a specific role or function within the context of the work "Watchmen" in relation to the other entity.
-
E.
roleInTheMask
Indicates that an entity has a specific role or character assignment in the context of "The Mask" (e.g., a production, story, or performance titled or themed "The Mask").
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: April 28, 2026, 3:35 p.m.