Triple
T14540726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaba |
E341160
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Cocoa Hooves II |
E1104058
|
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: Cocoa Hooves II | Statement: [Zaba, hasPart, Cocoa Hooves II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cocoa Hooves II Context triple: [Zaba, hasPart, Cocoa Hooves II]
-
A.
Cocoa Hooves
chosen
Cocoa Hooves is a track from Glass Animals’ album *Zaba*, known for its hazy, psychedelic production and dreamy, tropical atmosphere.
-
B.
Kokovoko
Kokovoko is the fictional, remote South Pacific island homeland of Queequeg in Herman Melville’s novel "Moby-Dick."
-
C.
The Chocolate Girl
The Chocolate Girl is an 18th-century pastel painting by Jean-Étienne Liotard depicting a maidservant carrying a tray with a cup of chocolate, celebrated for its delicate realism and luminous detail.
-
D.
Tough Cookies
Tough Cookies is an American television sitcom best known for featuring actress Carlene Watkins in a leading role.
-
E.
Black Hoof
Black Hoof was a prominent Shawnee war chief known for his leadership during resistance to American expansion in the late 18th and early 19th centuries.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bd0dd4819094c8b2f2aa6b1c5e |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ab414dc8190a233185068cfb8ff |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:22 a.m.