Triple
T14540718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaba |
E341160
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Hazey |
E1104052
|
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: Hazey | Statement: [Zaba, hasPart, Hazey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hazey Context triple: [Zaba, hasPart, Hazey]
-
A.
Hazey
chosen
Hazey is a song by British indie pop band Glass Animals, known for its hazy, atmospheric production and introspective lyrics.
-
B.
Haine
Haine is a river in western Europe that flows through northern France and southwestern Belgium, historically associated with the Hainaut region.
-
C.
Haze
Haze is the surname of Dolores "Lolita" Haze, the fictional adolescent protagonist of Vladimir Nabokov’s novel "Lolita."
-
D.
Hazo
Hazo is a minor biblical figure mentioned in the Book of Genesis as one of the sons of Nahor, Abraham’s brother.
-
E.
Hazard
Hazard is the middle name of Oliver Hazard Perry, the famed U.S. naval commander known for his victory in the Battle of Lake Erie during the War of 1812.
- 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.