Triple

T10717396
Position Surface form Disambiguated ID Type / Status
Subject Woohoo E252712 entity
Predicate songwriter P1141 FINISHED
Object Esther Dean E414686 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: Esther Dean | Statement: [Woohoo, songwriter, Esther Dean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esther Dean
Context triple: [Woohoo, songwriter, Esther Dean]
  • A. Ester Dean chosen
    Ester Dean is an American singer, songwriter, and record producer best known for penning numerous chart-topping pop and R&B hits for major artists and for her role in the "Pitch Perfect" film series.
  • B. Esther Ross
    Esther Ross was the woman who served as the sponsor and ceremonial namesake figure for the U.S. Navy battleship USS Arizona (BB-39) at its christening.
  • C. Esther Dale
    Esther Dale was an American character actress known for her numerous supporting roles in Hollywood films and early television from the 1930s through the 1950s.
  • D. Esther Harvey
    Esther Harvey was the wife of renowned American Broadway baritone and actor Alfred Drake.
  • E. Esther Bubley
    Esther Bubley was an American documentary photographer best known for her intimate, human-centered images of everyday life in mid-20th-century America, particularly during and after World War II.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff3566e88190b5c0c6d1b159dd45 completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69e373af06588190879cd11cce11c7bb completed April 18, 2026, 12:06 p.m.
Created at: April 8, 2026, 9:13 p.m.