Triple
T20194591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nataly Dawn |
E493048
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Haze |
—
|
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: Haze | Statement: [Nataly Dawn, notableWork, Haze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haze Context triple: [Nataly Dawn, notableWork, Haze]
-
A.
Haze
chosen
Haze is the surname of Dolores "Lolita" Haze, the fictional adolescent protagonist of Vladimir Nabokov’s novel "Lolita."
-
B.
Niebla
Niebla is a landmark 1914 novel by Spanish writer Miguel de Unamuno that blends fiction and philosophy in a metafictional exploration of identity, free will, and the nature of literary creation.
-
C.
Niebla
Niebla is a historic town in the province of Huelva, Spain, known for its well-preserved medieval walls and strategic importance in Andalusian history.
-
D.
Smokescreen
Smokescreen is an Autobot character in the Transformers: Armada series, known for his construction-vehicle alternate mode and role as a tough, loyal warrior.
-
E.
Hazey
Hazey is a song by British indie pop band Glass Animals, known for its hazy, atmospheric production and introspective lyrics.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad7ed548190a893110fa2ffb144 |
completed | April 20, 2026, 6:05 p.m. |
Created at: April 11, 2026, 11:37 p.m.