Triple
T17512964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babes in Toyland |
E426495
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | L7 |
—
|
NE NERFINISHED |
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: L7 | Statement: [Babes in Toyland, associatedAct, L7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L7 Context triple: [Babes in Toyland, associatedAct, L7]
-
A.
L7
chosen
L7 is an American all-female grunge and punk rock band known for their heavy sound, feminist themes, and prominence in the early 1990s alternative rock scene.
-
B.
7L
7L is the IATA airline designator assigned to AeroCaribbean, a regional carrier based in Cuba.
-
C.
L83
L83 is a 5.3-liter GM EcoTec3 V8 truck engine used in late-model Chevrolet and GMC pickups and SUVs.
-
D.
L6L
L6L is a Canadian postal code prefix serving part of the town of Oakville in southern Ontario.
-
E.
L2
L2 is the common shorthand for Ligue 2, the second tier of professional football in the French league system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525d29fc819080851bf744bc78ed |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:49 a.m.