Triple

T11039969
Position Surface form Disambiguated ID Type / Status
Subject The Natural E260985 entity
Predicate editedBy P1954 FINISHED
Object Stuart H. Pappé E61608 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: Stuart H. Pappé | Statement: [The Natural, editedBy, Stuart H. Pappé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stuart H. Pappé
Context triple: [The Natural, editedBy, Stuart H. Pappé]
  • A. Stuart H. Pappé chosen
    Stuart H. Pappé is a film editor best known for his work on the romantic comedy-drama film "The Preacher's Wife."
  • B. Andrew Rabinovich
    Andrew Rabinovich is a computer scientist and researcher known for his contributions to computer vision and deep learning, including influential work at Google.
  • C. Raviv Tadmor
    Raviv Tadmor is a scientist known for his research in soft matter and interfacial phenomena, and for being a notable student of polymer physicist Jacob Klein.
  • D. Neil Asher Silberman
    Neil Asher Silberman is an American archaeologist and historian known for his work on biblical archaeology, the history of ancient Israel, and the interpretation of archaeological heritage for public audiences.
  • E. Uri Tadmor
    Uri Tadmor is a linguist known for his research on Austronesian languages, particularly the Lamaholot language of eastern Indonesia.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797ff519481909ebc2515b3d241de completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9d61b548190949f0dfbcb782064 completed April 18, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:26 p.m.