Triple
T15195586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yellow House |
E363130
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Warp |
E363136
|
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: Warp | Statement: [Yellow House, recordLabel, Warp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warp Context triple: [Yellow House, recordLabel, Warp]
-
A.
Warp
Warp is the codename for IBM’s major OS/2 operating system releases from the mid-1990s, known for their advanced multitasking and stability features.
-
B.
Warp
Warp is a novel by Lev Grossman, best known as his debut work that blends slacker comedy with speculative and metafictional elements.
-
C.
Warp
chosen
Warp is a pioneering British independent record label renowned for its influential roster of experimental electronic and alternative artists.
-
D.
Warp Whistle
Warp Whistle is a special item in the Super Mario series that allows players to instantly travel to different worlds, effectively serving as a shortcut or warp mechanism.
-
E.
Warp X
Warp X is a British film production company known for backing distinctive, often genre-bending independent films.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067fcc788190abdc083d4eadeb36 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3324fdc8190b31d4d2fcaffc57a |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:10 a.m.