Triple
T14816574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoe Tapper |
E348332
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Grace |
E327672
|
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: Grace | Statement: [Zoe Tapper, notableWork, Grace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grace Context triple: [Zoe Tapper, notableWork, Grace]
-
A.
Grace
chosen
"Grace" is a British crime drama television series starring John Simm as Detective Superintendent Roy Grace, adapted from Peter James's bestselling novels.
-
B.
Grace
Grace is Jeff Buckley’s acclaimed 1994 debut studio album, celebrated for its emotive vocals, eclectic songwriting, and enduring influence on alternative rock.
-
C.
Grace
Grace is the NATO reporting name for the Aichi B7A, a Japanese World War II carrier-based torpedo-dive bomber aircraft.
-
D.
Grace
Grace is a cybernetically enhanced human soldier from the future who serves as one of the main protagonists in the film "Terminator: Dark Fate."
-
E.
Grace
Grace is a central character in the 1969 film "The Slave," notable for her role within the movie’s historical adventure narrative.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe2c1ec81908b3dff7a5d0e85d0 |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe3897691c819085ef89480e730723 |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:49 a.m.