Triple

T22782142
Position Surface form Disambiguated ID Type / Status
Subject Lakshmi Swaminathan E563868 entity
Predicate alsoKnownAs P39 FINISHED
Object Captain Lakshmi NE NERFINISHED

How this triple was built (3 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 Lakshmi | Statement: [Lakshmi Swaminathan, alsoKnownAs, Captain Lakshmi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Captain Lakshmi
Context triple: [Lakshmi Swaminathan, alsoKnownAs, Captain Lakshmi]
  • A. Captain Jenness
    Captain Jenness is a fictional sea captain who appears as a central character in William Dean Howells's novel "The Lady of the Aroostook."
  • B. Captain Mirvan
    Captain Mirvan is a coarse, bigoted sea captain and one of the chief comic antagonists in Fanny Burney’s 1778 novel "Evelina."
  • C. Captain Trench
    Captain Trench is a fictional British military officer character appearing in the 1929 film adaptation of "The Four Feathers," associated with themes of courage, honor, and colonial-era warfare.
  • D. Captain Blasi
    Captain Blasi is the central military officer protagonist in the film "The Best of Enemies," around whom the story’s main conflict and character dynamics revolve.
  • E. Captain Daimio
    Captain Daimio is a former military officer and scarred field leader of the Bureau for Paranormal Research and Defense in the Hellboy universe, known for his ruthless efficiency and troubled past.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Captain Lakshmi
Target entity description: Captain Lakshmi was an Indian freedom fighter, physician, and commander of the Rani of Jhansi Regiment of the Indian National Army who later became a prominent leftist politician.
  • A. Captain Jenness
    Captain Jenness is a fictional sea captain who appears as a central character in William Dean Howells's novel "The Lady of the Aroostook."
  • B. Captain Mirvan
    Captain Mirvan is a coarse, bigoted sea captain and one of the chief comic antagonists in Fanny Burney’s 1778 novel "Evelina."
  • C. Captain Trench
    Captain Trench is a fictional British military officer character appearing in the 1929 film adaptation of "The Four Feathers," associated with themes of courage, honor, and colonial-era warfare.
  • D. Captain Blasi
    Captain Blasi is the central military officer protagonist in the film "The Best of Enemies," around whom the story’s main conflict and character dynamics revolve.
  • E. Captain Daimio
    Captain Daimio is a former military officer and scarred field leader of the Bureau for Paranormal Research and Defense in the Hellboy universe, known for his ruthless efficiency and troubled past.
  • F. None of above. chosen

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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c2dd250819093a5c49806916ec4 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:28 p.m.