Triple

T22864802
Position Surface form Disambiguated ID Type / Status
Subject Randolph Ackerley E567021 entity
Predicate notableWork P4 FINISHED
Object My Dog Tulip NE NERFINISHED

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: My Dog Tulip | Statement: [Randolph Ackerley, notableWork, My Dog Tulip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: My Dog Tulip
Context triple: [Randolph Ackerley, notableWork, My Dog Tulip]
  • A. My Dog Tulip chosen
    My Dog Tulip is a memoir by J. R. Ackerley that recounts his deeply personal, often humorous, and unconventional relationship with his beloved Alsatian dog.
  • B. The Dog in Me
    The Dog in Me is a song featured on the album "Beware of Dog" by rapper Lil' Bow Wow.
  • C. A Little Yellow Dog
    A Little Yellow Dog is a crime novel by Walter Mosley featuring his iconic private investigator Easy Rawlins in a mystery set in 1960s Los Angeles.
  • D. The Dog
    The Dog is a nickname for Earl Simmons, better known as the influential American rapper and actor DMX.
  • E. The Dog
    "The Dog" is a song by Red Hot Chili Peppers featured on their 2022 double album project, specifically included on the album "Return of the Dream Canteen."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17effd93081909f2c9a8857a8728b completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.