Triple
T3536553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitruvius |
E74785
|
entity |
| Predicate | supportsCharacter |
P16523
|
FINISHED |
| Object | Wyldstyle |
E74784
|
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: Wyldstyle | Statement: [Vitruvius, supportsCharacter, Wyldstyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wyldstyle Context triple: [Vitruvius, supportsCharacter, Wyldstyle]
-
A.
Wyldstyle
chosen
Wyldstyle is a rebellious and resourceful Master Builder who plays a leading role in The Lego Movie’s fight against conformity and tyranny.
-
B.
Down Wit That
"Down Wit That" is a track from Chance the Rapper and Jeremih’s collaborative Christmas-themed mixtape "Merry Christmas Lil Mama."
-
C.
Dirrty
"Dirrty" is a 2002 hit single by Christina Aguilera known for its edgy sound, provocative lyrics, and controversial music video that marked a bold shift in her public image.
-
D.
B'Day
B'Day is Beyoncé's second studio album, a critically acclaimed R&B and pop record known for its energetic production and powerful vocal performances.
-
E.
Riding the Rap
"Riding the Rap" is a crime novel by Elmore Leonard featuring U.S. Marshal Raylan Givens as he navigates a kidnapping scheme in South Florida.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbcc7b92481908d2d99948780f4d0 |
completed | March 8, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bd237e881909df210a42346b572 |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:20 p.m.