Triple

T12859615
Position Surface form Disambiguated ID Type / Status
Subject Patricia Rooney Mara E307549 entity
Predicate role P268 FINISHED
Object Tiger Lily in Pan E570571 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: Tiger Lily in Pan | Statement: [Patricia Rooney Mara, role, Tiger Lily in Pan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiger Lily in Pan
Context triple: [Patricia Rooney Mara, role, Tiger Lily in Pan]
  • A. Tiger Lily chosen
    Tiger Lily is the proud and brave princess of the Native tribe in the Peter Pan story, known for her loyalty to Peter and her spirited defiance of Captain Hook.
  • B. Princess Fiona
    Princess Fiona is a strong-willed, ogre-cursed princess from the Shrek film series who subverts traditional fairy-tale stereotypes.
  • C. Dora Riparia
    Dora Riparia is a river in northwestern Italy that flows through the city of Turin before joining the Po River.
  • D. Dora
    Dora is a feminine given name, often used in English-speaking countries and sometimes as a short form of names like Dorothy or Theodora.
  • E. Dora
    Dora is a central character in the Italian film "Life Is Beautiful," portrayed as a loving and courageous mother whose devotion to her family anchors the story’s emotional core.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970242bd48190941cbae0315ebc3d completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bac0c1081909217d865aa8bf9a3 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:37 p.m.