Triple

T4245769
Position Surface form Disambiguated ID Type / Status
Subject My Darling Clementine E95524 entity
Predicate producer P490 FINISHED
Object Samuel G. Engel E109480 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: Samuel G. Engel | Statement: [My Darling Clementine, producer, Samuel G. Engel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel G. Engel
Context triple: [My Darling Clementine, producer, Samuel G. Engel]
  • A. Samuel G. Engel chosen
    Samuel G. Engel was an American film producer and studio executive best known for his work at 20th Century Fox during Hollywood’s studio era.
  • B. John F. Sattler
    John F. Sattler is a retired U.S. Marine Corps lieutenant general known for his leadership of Marine forces during the Iraq War, including major operations in Fallujah.
  • C. Lloyd M. Mustin
    Lloyd M. Mustin was a distinguished United States Navy officer whose career and service were honored by naming the destroyer USS Mustin (DD-413) after him.
  • D. George B. Schubauer
    George B. Schubauer was an American engineer and experimental physicist known for his influential work in fluid mechanics and turbulence research.
  • E. Harry M. Wegeforth
    Harry M. Wegeforth was an American physician and civic leader best known for establishing and guiding the early development of the San Diego Zoo into a major zoological institution.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e8db5bc8190873c5ae3753aaa58 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ef8185c6e08190949020a80c24f2b8 completed April 27, 2026, 3:32 p.m.
Created at: March 12, 2026, 11:05 p.m.