Triple
T23391792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 42 Dugg |
E594037
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Grace |
—
|
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: Grace | Statement: [42 Dugg, notableWork, Grace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grace Context triple: [42 Dugg, notableWork, Grace]
-
A.
Grace
Grace is the central Christian concept of God’s unmerited favor and loving initiative toward humanity, enabling salvation and spiritual transformation.
-
B.
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."
-
C.
Grace
chosen
"Grace" is a track by Nigerian singer Wizkid from his acclaimed Afrobeats album "Made in Lagos."
-
D.
Grace
Grace is a supporting character in the television series "Dr. Quinn, Medicine Woman," known as the town's skilled and compassionate café owner and cook.
-
E.
Grace
"Grace" is a track by the French electronic music artist Orphée, known for its atmospheric, melodic sound.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49ca5a0819091b74ca59e7fedd4 |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:36 p.m.