Triple

T16785737
Position Surface form Disambiguated ID Type / Status
Subject The Green Goddess E407967 entity
Predicate stars P1956 FINISHED
Object Harry T. Morey E407962 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: Harry T. Morey | Statement: [The Green Goddess, stars, Harry T. Morey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry T. Morey
Context triple: [The Green Goddess, stars, Harry T. Morey]
  • A. Harry T. Morey chosen
    Harry T. Morey was an American silent film actor prominent in the early 20th century, known for his leading roles in numerous dramas and adventure films.
  • B. William Gargan
    William Gargan was an American actor known for his work in film, radio, and television during the 1930s and 1940s, often portraying tough but likable characters.
  • C. Alvin Wyckoff
    Alvin Wyckoff was an American cinematographer of the silent film era, known for his innovative camera work on numerous early Hollywood productions.
  • D. Henry Lehman
    Henry Lehman was a 19th-century German-American businessman who co-founded the financial firm that evolved into the global investment bank Lehman Brothers.
  • E. Thomas W. Lamont
    Thomas W. Lamont was a prominent American banker and philanthropist associated with J.P. Morgan & Co. whose support for education and the arts led to institutions such as Harvard’s Lamont Library bearing his name.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b21a52ac8190b4374aa0fc45683a completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab07bdcc819086479178e5b8b679 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:22 a.m.