Triple
T34601191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omen IV: The Awakening |
E888462
|
entity |
| Predicate | featuresLegacyOf |
P117537
|
FINISHED |
| Object | Damien Thorn |
E255057
|
NE 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: Damien Thorn | Statement: [Omen IV: The Awakening, featuresLegacyOf, Damien Thorn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresLegacyOf Context triple: [Omen IV: The Awakening, featuresLegacyOf, Damien Thorn]
-
A.
featuresHistorian
Indicates that something includes or presents a historian as a notable participant, subject, or element.
-
B.
sharesHistoricalLegacyOf
Indicates that one entity is connected to, or participates in, the same historical legacy, tradition, or heritage as another entity.
-
C.
featuresFlashback
Indicates that an event, scene, or narrative segment includes a flashback to an earlier time or prior events.
-
D.
featuresVenerationOf
Indicates that something includes or displays acts, symbols, or practices of reverence or worship directed toward a person, figure, or entity.
-
E.
usesLegacyOf
chosen
Indicates that one entity makes use of, builds upon, or derives benefit from the historical work, reputation, or established influence of another entity.
- F. None of above.
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_69f349d489d48190ba30e7d97c6f5ef9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0346b487088190814e4bd0765cb609 |
completed | May 12, 2026, 3:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37792fcaf081909c0832ac0201249e |
completed | June 21, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_6a0346428c60819090e5ea815c0921ca |
completed | May 12, 2026, 3:24 p.m. |
Created at: May 1, 2026, 2:03 a.m.