Triple

T8729500
Position Surface form Disambiguated ID Type / Status
Subject The River E207215 entity
Predicate hasPart P35 FINISHED
Object The Ties That Bind E216543 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: The Ties That Bind | Statement: [The River, hasPart, The Ties That Bind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Ties That Bind
Context triple: [The River, hasPart, The Ties That Bind]
  • A. The Ties That Bind chosen
    "The Ties That Bind" is a song by Bruce Springsteen, best known as the opening track of his 1980 album "The River."
  • B. Ties That Bind
    Ties That Bind is a Ghanaian drama film that explores the intertwined lives and emotional struggles of three women connected by loss and motherhood.
  • C. Blood Ties
    Blood Ties is a 2013 crime drama film directed by Guillaume Canet that follows two brothers on opposite sides of the law in 1970s New York.
  • D. Family Ties
    Family Ties is a popular 1980s American sitcom that follows the Keaton family as they navigate generational and political differences with humor and heart.
  • E. Tangle of Hopes
    Tangle of Hopes is a work by political scientist Ernst B. Haas that explores the complexities and aspirations underlying processes of international integration and cooperation.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d19fdc88190860e0c9c93ab79ce completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf2923abc48190a5b6027c2e4f1db7 completed April 3, 2026, 2:42 a.m.
Created at: March 30, 2026, 6:37 p.m.