Triple
T20662251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skeleton Crew |
E507785
|
entity |
| Predicate | containsWork |
P2011
|
FINISHED |
| Object | Nona |
—
|
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: Nona | Statement: [Skeleton Crew, containsWork, Nona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nona Context triple: [Skeleton Crew, containsWork, Nona]
-
A.
Nona
Nona is one of the traditional bells of St Mark's Campanile in Venice, historically used to sound the ninth hour and mark time for the city.
-
B.
Nona
Nona is the Roman goddess of fate who presides over birth and is one of the three Parcae, equivalent to the Greek Fate Clotho.
-
C.
Nona the Ninth
chosen
Nona the Ninth is a 2022 science fantasy novel by Tamsyn Muir, part of the Locked Tomb series, blending necromancy, space opera, and dark humor.
-
D.
Lelia
Lelia is the given name of A'Lelia Walker, an influential African-American businesswoman and patron of the arts during the Harlem Renaissance.
-
E.
Nancia
Nancia is a central brainship protagonist in Anne McCaffrey’s "The Ship Who Sang" universe, known for her intelligence, sensitivity, and partnership with human crew.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f2ee4081908df9ba897c9dfc98 |
completed | April 20, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:44 a.m.