Triple
T23374516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willis Davidge |
E593568
|
entity |
| Predicate | enemySpecies |
P66530
|
FINISHED |
| Object | Drac |
—
|
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: Drac | Statement: [Willis Davidge, enemySpecies, Drac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drac Context triple: [Willis Davidge, enemySpecies, Drac]
-
A.
Drac
The Drac is a river in southeastern France that flows through the Alps and is a significant tributary of the Isère.
-
B.
Drac
chosen
Drac is a fictional reptilian alien species known from science fiction for its distinctive culture, language, and often adversarial yet complex relationships with humans.
-
C.
Drak
Drak is a Goron character from The Legend of Zelda series, known as one of the notable members of the rock-eating Goron race.
-
D.
Basilisk
The Basilisk is a gigantic, deadly serpent from the Harry Potter series whose gaze can kill and whose venom is among the most lethal magical substances.
-
E.
Drago
Drago is the central figure in Robert Schumann’s opera "Genoveva," around whom the drama’s key conflicts and developments revolve.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b1d24881909945936cbf00876e |
completed | April 29, 2026, 6:22 a.m. |
Created at: April 17, 2026, 5:33 p.m.