Triple
T21613987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perses |
E533384
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object | the Destroyer |
—
|
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: the Destroyer | Statement: [Perses, epithet, the Destroyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Destroyer Context triple: [Perses, epithet, the Destroyer]
-
A.
the Destroyer
chosen
The Destroyer is an epithet of the Titan Perses in Greek mythology, highlighting his association with ruin and destructive power.
-
B.
The Destroyer
The Destroyer is a long-running series of action-comedy pulp novels created by Warren Murphy and Richard Sapir, centered on U.S. government assassin Remo Williams and his Korean martial arts mentor Chiun.
-
C.
The Destroyer
The Destroyer is the hard-tackling Canadian defensive midfielder Desiree Scott, renowned for her ball-winning tenacity and physical style of play.
-
D.
The Destroyer
"The Destroyer" is a track from the musical score of the 2011 Marvel film "Thor," composed by Patrick Doyle.
-
E.
The Destroyer
The Destroyer is a formidable persona adopted by Connor, likely representing a powerful, fearsome, or highly destructive character in its narrative context.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3ba9aca48190b5180eefd61a9fdc |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:33 p.m.