Triple

T16895084
Position Surface form Disambiguated ID Type / Status
Subject Laura Benanti E424277 entity
Predicate notableWork P4 FINISHED
Object Into the Woods E25529 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: Into the Woods | Statement: [Laura Benanti, notableWork, Into the Woods]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Into the Woods
Context triple: [Laura Benanti, notableWork, Into the Woods]
  • A. Into the Woods chosen
    Into the Woods is a 2014 musical fantasy film adaptation of the Stephen Sondheim stage musical, intertwining several classic fairy tales in a darkly comedic and emotionally complex narrative.
  • B. Once Upon a Mattress
    Once Upon a Mattress is a 1959 Broadway musical comedy, a spoof of "The Princess and the Pea," that helped launch Carol Burnett to stardom.
  • C. Out of the Woods
    "Out of the Woods" is a synth-pop song by Taylor Swift from her 2014 album 1989, noted for its vivid storytelling about a fragile relationship.
  • D. Once (musical)
    Once is a Tony Award–winning stage musical adaptation of the 2007 Irish film, featuring a folk-influenced score by Glen Hansard and Markéta Irglová and a minimalist, actor-musician staging.
  • E. Wicked
    Wicked is a component or segment of the larger work "Necessary Evil," likely representing a distinct chapter, episode, or storyline within that overarching title.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d7aec88190888f13601acbcd77 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7aa83bc8190832d2f3903ce0081 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.