Triple

T16124763
Position Surface form Disambiguated ID Type / Status
Subject Jeffrey Lynn E391237 entity
Predicate performedIn P795 FINISHED
Object The Big Trees E894307 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: The Big Trees | Statement: [Jeffrey Lynn, performedIn, The Big Trees]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Big Trees
Context triple: [Jeffrey Lynn, performedIn, The Big Trees]
  • A. The Big Trees chosen
    The Big Trees is a 1952 Western film starring Kirk Douglas, known for its story about a lumber baron’s clash with religious settlers over California redwood forests.
  • B. The Forest Trees
    The Forest Trees is a short story by Washington Irving included in his 1822 collection "Bracebridge Hall; or, The Humorists."
  • C. The Tree
    "The Tree" is a minimalist abstract painting by American artist Agnes Martin, exemplifying her serene grid-based style and meditative approach to art.
  • D. The Ever Green
    The Ever Green is a landmark early 18th-century anthology of older Scottish poetry compiled and edited by Allan Ramsay, which helped revive interest in Scotland’s literary heritage.
  • E. Cedars of God
    Cedars of God is an ancient grove of Lebanon cedar trees in northern Lebanon, renowned as one of the last remnants of the historic cedar forests celebrated in religious texts and regional history.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020408a88190bf3dfc893d577c55 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2a9db848190bafb959bd7511246 completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5 a.m.