Triple

T8729501
Position Surface form Disambiguated ID Type / Status
Subject The River E207215 entity
Predicate hasPart P35 FINISHED
Object Sherry Darling E239925 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: Sherry Darling | Statement: [The River, hasPart, Sherry Darling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sherry Darling
Context triple: [The River, hasPart, Sherry Darling]
  • A. Sherry Darling chosen
    "Sherry Darling" is an upbeat, rock-and-roll track by Bruce Springsteen from his 1980 album *The River*, known for its humorous lyrics about a beleaguered boyfriend and its raucous, bar-band energy.
  • B. Dorys Madden
    Dorys Madden is best known as the wife of Basketball Hall of Famer Julius "Dr. J" Erving.
  • C. Sherry Stringfield
    Sherry Stringfield is an American actress best known for her role as Dr. Susan Lewis on the television medical drama "ER."
  • D. Sherry Marsh
    Sherry Marsh is a television and film producer best known for executive producing acclaimed series such as "Vikings."
  • E. Sherry Jackson
    Sherry Jackson is an American actress best known for her work as a child and young adult performer in 1950s and 1960s film and television.
  • 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_69cfb9fc625c8190bd8fc4e9e456e922 completed April 3, 2026, 1 p.m.
Created at: March 30, 2026, 6:37 p.m.