Triple

T19002529
Position Surface form Disambiguated ID Type / Status
Subject Fiona Gallagher E464990 entity
Predicate portrayedBy P1507 FINISHED
Object Emmy Rossum 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: Emmy Rossum | Statement: [Fiona Gallagher, portrayedBy, Emmy Rossum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmy Rossum
Context triple: [Fiona Gallagher, portrayedBy, Emmy Rossum]
  • A. Emmy Rossum chosen
    Emmy Rossum is an American actress and singer best known for her role as Fiona Gallagher on the TV series "Shameless" and for her work in films such as "The Phantom of the Opera."
  • B. Shailene Woodley
    Shailene Woodley is an American actress known for her breakout role in "The Descendants" and for starring in films such as "The Fault in Our Stars" and the "Divergent" series.
  • C. Kristen Stewart
    Kristen Stewart is an American actress best known for her role as Bella Swan in the "Twilight" film series and for her acclaimed performances in independent and arthouse films.
  • D. Hanna Langlet
    Hanna Langlet was a 19th-century Swedish woman known primarily as the wife of architect Emil Victor Langlet.
  • E. Jena Malone
    Jena Malone is an American actress and musician known for her versatile roles in independent films and major franchises such as "Donnie Darko," "Pride & Prejudice," and "The Hunger Games" series.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d687cb2081909bf3ac761e292f22 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.