Triple
T20916619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memorial de Aires |
E515088
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Counselor Aires |
—
|
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: Counselor Aires | Statement: [Memorial de Aires, hasCharacter, Counselor Aires]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Counselor Aires Context triple: [Memorial de Aires, hasCharacter, Counselor Aires]
-
A.
Counselor Aires
chosen
Counselor Aires is a reflective, observant diplomat who serves as the narrator and central consciousness in Machado de Assis’s novel "Esaú e Jacó."
-
B.
Tony Cora
Tony Cora is a musician and composer best known for creating music for the influential found-footage horror film "The Blair Witch Project."
-
C.
Orin Scrivello
Orin Scrivello is the sadistic dentist and antagonist from the musical and film "Little Shop of Horrors," known for his abusive behavior and darkly comic persona.
-
D.
Mentor Marsh
Mentor Marsh is a protected wetland and wildlife area in Mentor, Ohio, known for its rich biodiversity and birdwatching opportunities.
-
E.
Inez
Inez is a central character in the film "Midnight in Paris," known as Gil Pender's materialistic and skeptical fiancée.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec635f4881909a560fb891100d8c |
completed | April 21, 2026, 3:17 a.m. |
Created at: April 16, 2026, 12:48 p.m.