Triple

T7007644
Position Surface form Disambiguated ID Type / Status
Subject Logan Lerman E162496 entity
Predicate hasWorkedWith P9615 FINISHED
Object Alexandra Daddario E535847 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: Alexandra Daddario | Statement: [Logan Lerman, hasWorkedWith, Alexandra Daddario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandra Daddario
Context triple: [Logan Lerman, hasWorkedWith, Alexandra Daddario]
  • A. Alexandra Daddario chosen
    Alexandra Daddario is an American actress known for her roles in films such as the Percy Jackson series, San Andreas, and Baywatch, as well as the HBO series True Detective.
  • B. Kristen Connolly
    Kristen Connolly is an American actress best known for her lead role in the horror-comedy film "The Cabin in the Woods" and her work in television series such as "House of Cards."
  • C. Maya Van Dien
    Maya Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
  • D. Lauren Ambrose
    Lauren Ambrose is an American actress best known for her critically acclaimed role as Claire Fisher on the HBO drama series "Six Feet Under."
  • E. Adrianne Palicki
    Adrianne Palicki is an American actress best known for her roles in television series such as "Friday Night Lights," "Agents of S.H.I.E.L.D.," and "The Orville," as well as films like "G.I. Joe: Retaliation" and "John Wick."
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc36e3fc8190957445132a9ffb5f completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad743c2c819081d7b8cda5720ba3 completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:33 p.m.