Triple
T3406896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V2 Records |
E71794
|
entity |
| Predicate | hasArtist |
P5936
|
FINISHED |
| Object | Elbow |
E209068
|
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: Elbow | Statement: [V2 Records, hasArtist, Elbow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elbow Context triple: [V2 Records, hasArtist, Elbow]
-
A.
Elbow
chosen
Elbow is an English alternative rock band known for its atmospheric sound, introspective lyrics, and the Mercury Prize-winning album "The Seldom Seen Kid."
-
B.
Dwele
Dwele is an American R&B and neo-soul singer, songwriter, and record producer known for his smooth vocals and collaborations with artists across hip-hop and soul.
-
C.
The Esses
The Esses is a challenging downhill sequence of tight, twisting corners at Mount Panorama Circuit that tests drivers' precision and car balance during the Bathurst 1000.
-
D.
Big Ears
Big Ears is a wise, bearded brownie from Enid Blyton’s Noddy stories who lives in a toadstool house and often helps Noddy with advice and guidance.
-
E.
The Ear
The Ear is a distinctive rock formation on El Capitan in Yosemite National Park, serving as a notable feature along the Salathé Wall climbing route.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8ede9c48190b13b0f5e7474e7fa |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bdaf06c8190a8102a4e3c728066 |
completed | March 12, 2026, 11:27 p.m. |
Created at: March 8, 2026, 3:15 p.m.