Triple

T8492864
Position Surface form Disambiguated ID Type / Status
Subject Three Laws of Robotics E201014 entity
Predicate notableWork P4 FINISHED
Object Runaround E201016 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: Runaround | Statement: [Three Laws of Robotics, notableWork, Runaround]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runaround
Context triple: [Three Laws of Robotics, notableWork, Runaround]
  • A. Runaround chosen
    "Runaround" is a seminal science fiction short story by Isaac Asimov that famously introduced and explored the Three Laws of Robotics through a malfunctioning robot on Mercury.
  • B. Runaround Sue
    "Runaround Sue" is a 1961 doo-wop hit single by Dion, known for its catchy melody and lyrics about a heartbreakingly unfaithful girl.
  • C. Catch That Rabbit
    "Catch That Rabbit" is a science fiction short story by Isaac Asimov that explores robot behavior and the Three Laws of Robotics through a malfunctioning mining robot on an asteroid.
  • D. Hullabaloo
    Hullabaloo was a 1960s American musical variety television show that featured popular rock and pop performers of the era.
  • E. Rabbit, Run
    Rabbit, Run is a 1960 novel by John Updike that follows former high school basketball star Harry "Rabbit" Angstrom as he struggles with adulthood, marriage, and spiritual disillusionment in small-town America.
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe55cf5dc81908cad31ac53e15b46 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4df8f78c81908c83d7d5ac996504 completed April 2, 2026, 11:07 a.m.
Created at: March 30, 2026, 6:13 p.m.