Triple

T20136637
Position Surface form Disambiguated ID Type / Status
Subject A Light in the Attic E491040 entity
Predicate hasPoem P21160 FINISHED
Object "The Bridge" 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: "The Bridge" | Statement: [A Light in the Attic, hasPoem, "The Bridge"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "The Bridge"
Context triple: [A Light in the Attic, hasPoem, "The Bridge"]
  • A. The Bridge
    The Bridge is a surreal science fiction novel by Iain M. Banks that blends psychological exploration with an intricate, dreamlike narrative set on a vast, mysterious bridge.
  • B. The Bridge
    The Bridge is a 1959 anti-war film directed by Bernhard Wicki that portrays a group of German schoolboys tragically defending a useless bridge at the end of World War II.
  • C. The Bridge chosen
    The Bridge is an ambitious modernist epic poem by Hart Crane that reimagines American history and experience through the symbolic central image of the Brooklyn Bridge.
  • D. The Bridge
    "The Bridge" is a musical track from the score of the animated film *Kung Fu Panda* (2008), composed by Hans Zimmer and John Powell.
  • E. The Bridge
    The Bridge is a film or television work featuring German actress Franka Potente, known for her intense and dynamic performances.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66767ba3881909c2bcb74a986bd29 completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.