Triple

T7024943
Position Surface form Disambiguated ID Type / Status
Subject So Proudly We Hail! E162919 entity
Predicate producer P490 FINISHED
Object Mark Sandrich E224389 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: Mark Sandrich | Statement: [So Proudly We Hail!, producer, Mark Sandrich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Sandrich
Context triple: [So Proudly We Hail!, producer, Mark Sandrich]
  • A. Mark Sandrich chosen
    Mark Sandrich was an American film director best known for his classic 1930s Hollywood musicals starring Fred Astaire and Ginger Rogers.
  • B. Mark Kostabi
    Mark Kostabi is an American artist and composer known for his stylized, faceless figures and for designing notable album covers for major rock bands.
  • C. Michael Stahl-David
    Michael Stahl-David is an American actor best known for his leading role in the found-footage monster film "Cloverfield."
  • D. Russ Kunkel
    Russ Kunkel is an American drummer and record producer best known for his prolific session work with major rock and folk artists from the 1970s onward.
  • E. Greg Medavoy
    Greg Medavoy is a mild-mannered, often self-doubting detective whose personal growth and quiet competence provide both comic relief and emotional depth throughout the TV series "NYPD Blue."
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1fb8f0c8190b15dd7ce7ab6a8f2 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c78857d23c8190904a90459a802cb8 completed March 28, 2026, 7:50 a.m.
Created at: March 27, 2026, 2:35 p.m.