Triple
T15493155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spider-Man |
E378746
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | Wall-Crawler |
E523769
|
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: Wall-Crawler | Statement: [Spider-Man, hasAlias, Wall-Crawler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wall-Crawler Context triple: [Spider-Man, hasAlias, Wall-Crawler]
-
A.
Wall-Crawler
chosen
Wall-Crawler is a nickname for the Marvel Comics superhero Spider-Man, highlighting his ability to cling to and scale walls and other surfaces.
-
B.
Spine Crawler
The Spine Crawler is a burrowing Zerg defensive structure in StarCraft II that attacks ground units with powerful melee-style spines.
-
C.
Prowler
Prowler is a wooden roller coaster at the Worlds of Fun amusement park in Kansas City, Missouri, known for its fast, terrain-hugging layout through wooded areas.
-
D.
Kobra
Kobra is a spinning disk roller coaster attraction at Chessington World of Adventures in the UK.
-
E.
Skullcrawlers
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.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fad723481908d2aa33e8f065f2f |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3660fc6c81908caf1729260a8338 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:49 a.m.