Triple
T3016230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skullcrawlers |
E82341
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Skullcrawler |
E82341
|
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: Skullcrawler | Statement: [Skullcrawlers, alsoKnownAs, Skullcrawler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skullcrawler Context triple: [Skullcrawlers, alsoKnownAs, Skullcrawler]
-
A.
Skullcrawlers
chosen
Skullcrawlers are monstrous, subterranean reptilian predators from the MonsterVerse franchise, best known as the primary antagonistic creatures that inhabit Skull Island and battle King Kong.
-
B.
Scorponok
Scorponok is a scorpion-like Decepticon from the Transformers franchise, known for his burrowing attacks and appearances across various series and films.
-
C.
Smargadus
Smargadus was the exarch of Ravenna who commissioned the Column of Phocas in the Roman Forum in the early 7th century.
-
D.
Kroitor
Kroitor is a surname most notably associated with Roman Kroitor, a pioneering Canadian filmmaker and co-founder of IMAX.
-
E.
Tarasque
The Tarasque is a legendary dragon-like monster from Provençal folklore, famously tamed by Saint Martha and associated with the town of Tarascon in southern France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a6c56708190b7d8d08bca727cc1 |
completed | March 8, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eee74390819087e48b67ed4a9f27 |
completed | March 11, 2026, 10:38 p.m. |
Created at: March 8, 2026, 3 p.m.