Triple

T19245012
Position Surface form Disambiguated ID Type / Status
Subject Captain January E481227 entity
Predicate title P38 FINISHED
Object Captain January 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: Captain January | Statement: [Captain January, title, Captain January]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Captain January
Context triple: [Captain January, title, Captain January]
  • A. Captain January
    Captain January is a 1936 musical comedy-drama film starring child actress Shirley Temple as an orphan raised by a lighthouse keeper.
  • B. Captain January chosen
    Captain January is a 19th-century children's novel by Laura E. Richards, best known for its sentimental story of a lighthouse keeper and the young girl he raises as his daughter.
  • C. Captain Brazen
    Captain Brazen is a boastful, comically swaggering army officer in George Farquhar’s Restoration comedy "The Recruiting Officer."
  • D. Captain Sham
    Captain Sham is a false seafaring persona adopted by the villainous Count Olaf in Lemony Snicket’s "A Series of Unfortunate Events" to deceive the Baudelaire orphans and those around them.
  • E. Captain Chris
    Captain Chris is the costumed sea-captain mascot representing Christopher Newport University at its athletic events and campus activities.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faf47820819081e8b6af852bb1dd completed April 20, 2026, 10:07 a.m.
Created at: April 10, 2026, 1:27 p.m.