Triple

T7342957
Position Surface form Disambiguated ID Type / Status
Subject Peace Monument E169302 entity
Predicate sculptor P184 FINISHED
Object Franklin Simmons E660526 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: Franklin Simmons | Statement: [Peace Monument, sculptor, Franklin Simmons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franklin Simmons
Context triple: [Peace Monument, sculptor, Franklin Simmons]
  • A. Franklin Simmons chosen
    Franklin Simmons was a 19th-century American sculptor known for his public monuments and commemorative statues, particularly those related to the Civil War.
  • B. Franklin Sousley
    Franklin Sousley was a United States Marine and one of the six flag raisers on Iwo Jima during World War II, whose story is prominently depicted in the film "Flags of Our Fathers."
  • C. Franklin Rood
    Franklin Rood is the sadistic serial killer antagonist at the center of the 2012 horror film "Shiver."
  • D. Franklin Hart Jr.
    Franklin Hart Jr. is the sexist, egotistical, and tyrannical boss who serves as the primary antagonist in the comedy film "9 to 5."
  • E. Charles Simmons
    Charles Simmons was an American author and editor known for his witty, elegantly crafted novels and his long association with The New York Times Book Review.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0db2db8819088c4bed5d65571f6 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810cbd78c8190934dd5d4baa1a0a7 completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:04 p.m.