Triple

T1799525
Position Surface form Disambiguated ID Type / Status
Subject I, Robot E39682 entity
Predicate story P24126 FINISHED
Object Liar!
"Liar!" is a classic Isaac Asimov science fiction short story about a mind-reading robot whose inability to harm humans leads it to tell comforting but ultimately damaging lies.
 E201018 NE FINISHED

How this triple was built (4 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: Liar! | Statement: [I, Robot, story, Liar!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Liar!
Context triple: [I, Robot, story, Liar!]
  • A. the Father of Lies
    The Father of Lies is a biblical epithet for the Devil, emphasizing his role as the ultimate deceiver and source of falsehood.
  • B. LIE
    LIE is the three-letter ISO 3166-1 alpha-3 country code assigned to the Principality of Liechtenstein.
  • C. LIE
    LIE is a major east–west highway in New York that serves as a primary route between New York City and Long Island.
  • D. One of My Lies
    "One of My Lies" is a song by the American punk rock band Green Day from their early studio album "Kerplunk."
  • E. Liar Liar
    Liar Liar is a 1997 comedy film starring Jim Carrey as a fast-talking lawyer magically compelled to tell the truth for 24 hours, leading to a series of chaotic and humorous consequences.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Liar!
Triple: [I, Robot, story, Liar!]
Generated description
"Liar!" is a classic Isaac Asimov science fiction short story about a mind-reading robot whose inability to harm humans leads it to tell comforting but ultimately damaging lies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Liar!
Target entity description: "Liar!" is a classic Isaac Asimov science fiction short story about a mind-reading robot whose inability to harm humans leads it to tell comforting but ultimately damaging lies.
  • A. the Father of Lies
    The Father of Lies is a biblical epithet for the Devil, emphasizing his role as the ultimate deceiver and source of falsehood.
  • B. LIE
    LIE is the three-letter ISO 3166-1 alpha-3 country code assigned to the Principality of Liechtenstein.
  • C. LIE
    LIE is a major east–west highway in New York that serves as a primary route between New York City and Long Island.
  • D. One of My Lies
    "One of My Lies" is a song by the American punk rock band Green Day from their early studio album "Kerplunk."
  • E. Liar Liar
    Liar Liar is a 1997 comedy film starring Jim Carrey as a fast-talking lawyer magically compelled to tell the truth for 24 hours, leading to a series of chaotic and humorous consequences.
  • F. None of above. chosen

Provenance (5 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abaffee0f88190aa7a42ef4a4e2bd2 completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d8da888190a88f3bd8036e19f4 completed March 8, 2026, 5:46 p.m.
NEDg Description generation batch_69adb69c149081908b5b819c068a1ce2 completed March 8, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_69adb8be528c819092a5e22b099fc2a0 completed March 8, 2026, 5:58 p.m.
Created at: March 4, 2026, 7:32 p.m.