Triple
T21481461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asta |
E530002
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Asta (novel character) |
—
|
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: Asta (novel character) | Statement: [Asta, basedOn, Asta (novel character)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asta (novel character) Context triple: [Asta, basedOn, Asta (novel character)]
-
A.
Asta
chosen
Asta is the small wire fox terrier dog featured as the beloved pet and occasional comic relief in the classic detective film series "The Thin Man."
-
B.
Asta
Asta is a feminine given name most notably borne by pioneering Danish silent film actress Asta Nielsen.
-
C.
Asterio (character)
Asterio is a character from Antonio Salieri’s opera "Europa riconosciuta," typically portrayed as a figure entangled in the opera’s royal intrigues and dramatic revelations.
-
D.
Astaranga
Astaranga is a coastal village and emerging tourist spot in Odisha, India, known for its scenic beaches and fishing community.
-
E.
Faika
Faika is a feminine given name used in various Arabic-speaking and Muslim-majority cultures.
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea338f988190a3044f8d02a567fe |
completed | April 23, 2026, 9:45 a.m. |
Created at: April 16, 2026, 6:21 p.m.