Triple
T21348170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvia Neary |
E526397
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Toby Neary |
—
|
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: Toby Neary | Statement: [Sylvia Neary, hasSibling, Toby Neary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toby Neary Context triple: [Sylvia Neary, hasSibling, Toby Neary]
-
A.
Toby Neary
chosen
Toby Neary is a fictional character appearing as one of Roy Neary’s children in the science fiction film "Close Encounters of the Third Kind."
-
B.
Toby Nealey
Toby Nealey is the central protagonist of the British thriller film "I Came By," around whom the story’s suspenseful events and moral conflicts revolve.
-
C.
Matthew Tobin
Matthew Tobin is an actor known for his role in the film "Real Life."
-
D.
Brendan Tobin
Brendan Tobin is a guitarist best known for his work in heavy and experimental rock bands, including his former role in the instrumental post-rock group Red Sparowes.
-
E.
Toby Mott
Toby Mott is a British artist, designer, and former punk musician known for his influential graphic work and involvement in underground youth culture.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5baab4e081908916a289c607cf3a |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:01 p.m.