Triple

T16190959
Position Surface form Disambiguated ID Type / Status
Subject Emmanuelle Chriqui E392936 entity
Predicate playedCharacter P1507 FINISHED
Object Lana Lang E248308 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: Lana Lang | Statement: [Emmanuelle Chriqui, playedCharacter, Lana Lang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lana Lang
Context triple: [Emmanuelle Chriqui, playedCharacter, Lana Lang]
  • A. Lana Lang chosen
    Lana Lang is a longtime supporting character in the Superman franchise, best known as Clark Kent’s childhood friend and early love interest from Smallville.
  • B. Amanda Reed
    Amanda Reed was the benefactor whose bequest and vision led to the establishment of Reed College in Portland, Oregon.
  • C. Jacqui Lopez
    Jacqui Lopez is a film and television producer known for her work on the Star Wars franchise, including serving as an executive producer on the animated anthology series Star Wars: Visions.
  • D. Wanda Blake
    Wanda Blake is a central character in the Spawn franchise, known as Al Simmons’ wife whose loss and later life without him drive much of his tragic, supernatural journey.
  • E. Sharon Maguire
    Sharon Maguire is a British film director best known for helming the hit romantic comedy "Bridget Jones’s Diary."
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d5769c8190bbb604bfa095a1a5 completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff095504819096c36d6c5d131207 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.