Triple

T6927198
Position Surface form Disambiguated ID Type / Status
Subject Hillside E160340 entity
Predicate occupant P75 FINISHED
Object Daniel Lothrop E275203 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: Daniel Lothrop | Statement: [Hillside, occupant, Daniel Lothrop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Lothrop
Context triple: [Hillside, occupant, Daniel Lothrop]
  • A. Daniel Lothrop chosen
    Daniel Lothrop was a 19th-century American publisher best known for founding the D. Lothrop Company, which specialized in children's and religious literature.
  • B. Charles Leavitt
    Charles Leavitt is an American screenwriter best known for writing the screenplay for the film "Blood Diamond."
  • C. Ogden Morrow
    Ogden Morrow is a key supporting character in Ernest Cline's novel "Ready Player One," known as the reclusive co-creator of the virtual reality world OASIS.
  • D. Daniel Comstock
    Daniel Comstock was an American scientist and engineer best known as a co-founder of Technicolor, a pioneering company in color motion picture technology.
  • E. John LaRue
    John LaRue was an early American pioneer and landowner in Kentucky after whom LaRue County was named.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da1bf2088190a8ccfa01d9a1efc5 completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75859735081909382f1542271a1e4 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:27 p.m.