Triple

T4559109
Position Surface form Disambiguated ID Type / Status
Subject Sister Parish E120549 entity
Predicate influenced P9 FINISHED
Object Albert Hadley E453265 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: Albert Hadley | Statement: [Sister Parish, influenced, Albert Hadley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Hadley
Context triple: [Sister Parish, influenced, Albert Hadley]
  • A. Albert Hadley chosen
    Albert Hadley was a prominent American interior designer renowned for his influential partnership with Sister Parish and his refined, modern classic style.
  • B. Charles Conrad
    Charles "Pete" Conrad was an American astronaut, naval officer, and the third person to walk on the Moon.
  • C. Fred Haise
    Fred Haise is an American astronaut and test pilot best known as the lunar module pilot on the ill-fated Apollo 13 mission.
  • D. Archie Marshek
    Archie Marshek was an American film editor known for his work during Hollywood’s early sound era, including editing the 1932 thriller "The Most Dangerous Game."
  • E. Robert Wisdom
    Robert Wisdom is an American actor best known for his role as Major Howard "Bunny" Colvin on the television series "The Wire."
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd5829cc34819086ad2ae58446502e completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3a139f08190a0211d5848ccdfad completed March 20, 2026, 11:09 p.m.
Created at: March 20, 2026, 1:09 p.m.