Triple

T13633260
Position Surface form Disambiguated ID Type / Status
Subject Caroline Goodall E325779 entity
Predicate givenName P17 FINISHED
Object Caroline E239135 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: Caroline | Statement: [Caroline Goodall, givenName, Caroline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caroline
Context triple: [Caroline Goodall, givenName, Caroline]
  • A. Caroline
    Caroline is a rural town in Tompkins County, New York, known for its small communities, scenic landscapes, and proximity to the city of Ithaca.
  • B. Caroline
    Caroline was a British princess of the early 18th century, the daughter of King George II and Queen Caroline of Ansbach.
  • C. Caroline chosen
    Caroline is a feminine given name of French and Latin origin, commonly used in English-speaking and European countries.
  • D. Caroline
    "Caroline" is a breakout hip-hop single by American rapper Aminé, known for its catchy hook and playful storytelling.
  • E. Caroline
    Caroline is the given name of Lady Caroline Spencer-Churchill, a British aristocrat from the prominent Spencer-Churchill family.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a490508190924ac40f1dd519d6 completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fab07648190b3b3362a8ffa8961 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:51 p.m.