Triple

T15266280
Position Surface form Disambiguated ID Type / Status
Subject Peggy Moran E364908 entity
Predicate spouse P13 FINISHED
Object Henry Koster E56821 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: Henry Koster | Statement: [Peggy Moran, spouse, Henry Koster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Koster
Context triple: [Peggy Moran, spouse, Henry Koster]
  • A. Henry Koster chosen
    Henry Koster was a German-born American film director best known for his work in Hollywood during the 1930s–1950s, including popular comedies, dramas, and family films.
  • B. Bert Shefter
    Bert Shefter was a film composer best known for his collaborations on mid-20th-century science fiction and horror movie scores.
  • C. Raymond Kravis
    Raymond Kravis was an American oil and gas investor and philanthropist, best known as the father of financier Henry Kravis and namesake of several major cultural and educational institutions.
  • D. Gene Rosow
    Gene Rosow is a film and television producer best known for his work on family-oriented and nature-themed projects such as the movie "Zeus and Roxanne."
  • E. Walt Dohrn
    Walt Dohrn is an American animator, voice actor, writer, and director best known for his creative leadership on DreamWorks Animation films such as the Trolls franchise.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00851c5b88190a296b6a105d3ee30 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee600340c8190a1888d35c2c1bc86 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.