Triple
T15953693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WrestleMania 33 |
E386879
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Raw |
E315313
|
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: Raw | Statement: [WrestleMania 33, brand, Raw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raw Context triple: [WrestleMania 33, brand, Raw]
-
A.
Raw
chosen
Raw is a flagship weekly professional wrestling television program produced by WWE, featuring top-tier storylines and talent from one of the company’s primary brands.
-
B.
Raw
Raw is a 2016 French-Belgian horror drama film about a vegetarian veterinary student who develops a disturbing craving for human flesh after a hazing ritual.
-
C.
RAW
RAW is India's external intelligence agency responsible for foreign intelligence gathering, counter-terrorism, and strategic security operations.
-
D.
Raw Uncut
Raw Uncut is a music producer known for working with the hip-hop artist Exit 13.
-
E.
R.A.W.
R.A.W. is a studio album by West Coast rapper and producer Daz Dillinger, showcasing his signature G-funk-influenced gangsta rap style.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156f810148190ab4989a0e4a5f8c0 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7ab070819090232efdeecdd5fb |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.