Triple
T37715428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archangel |
E939442
|
entity |
| Predicate | roleUnderApocalypse |
P188962
|
FINISHED |
| Object | Horseman of Death |
—
|
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: Horseman of Death | Statement: [Archangel, roleUnderApocalypse, Horseman of Death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleUnderApocalypse Context triple: [Archangel, roleUnderApocalypse, Horseman of Death]
-
A.
roleInResidentEvilApocalypse
Indicates that an entity portrays a specific role or character in the film "Resident Evil: Apocalypse."
-
B.
roleInDisasterMovie
Indicates that an entity has a specific acting or production role in a disaster-themed movie.
-
C.
roleInRescue
Indicates the specific function or responsibility an entity has within a rescue operation or event.
-
D.
roleInTheZeroTheorem
Indicates that an entity played a role in the film "The Zero Theorem."
-
E.
roleDuringPlague
Indicates the specific function, duty, or position an entity held or performed during a plague event.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaf48ba148190a8bdfd6846ad0540 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaeef9c488190babb546b962b4fb6 |
completed | May 6, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:18 p.m.