Triple

T20142746
Position Surface form Disambiguated ID Type / Status
Subject ¡Uno! E491215 entity
Predicate hasMechanic P23573 FINISHED
Object take-that
Take-that is a confrontational board game mechanic where players directly hinder or attack opponents’ progress, often through sudden, disruptive actions or cards.
 E1412566 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: take-that | Statement: [¡Uno!, hasMechanic, take-that]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: take-that
Context triple: [¡Uno!, hasMechanic, take-that]
  • A. Take
    Take was a Romanian statesman and diplomat, best known for serving as Prime Minister of Romania in the early 20th century and for his influential role in the country’s foreign policy.
  • B. TAK
    TAK is the IATA airport code for Takamatsu Airport in Kagawa Prefecture, Japan.
  • C. TAK
    TAK is a Kurdish militant organization known for carrying out urban terrorist attacks in Turkey, often seen as a hardline offshoot or affiliate of the PKK.
  • D. Take What You Take
    "Take What You Take" is a song by English singer Lily Allen from her debut studio album "Alright, Still."
  • E. takin
    The takin is a large, muscular goat-antelope native to the eastern Himalayas and surrounding mountain ranges, known for its thick golden coat and distinctive Roman-nosed profile.
  • 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: take-that
Triple: [¡Uno!, hasMechanic, take-that]
Generated description
Take-that is a confrontational board game mechanic where players directly hinder or attack opponents’ progress, often through sudden, disruptive actions or cards.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: take-that
Target entity description: Take-that is a confrontational board game mechanic where players directly hinder or attack opponents’ progress, often through sudden, disruptive actions or cards.
  • A. Take
    Take was a Romanian statesman and diplomat, best known for serving as Prime Minister of Romania in the early 20th century and for his influential role in the country’s foreign policy.
  • B. TAK
    TAK is the IATA airport code for Takamatsu Airport in Kagawa Prefecture, Japan.
  • C. TAK
    TAK is a Kurdish militant organization known for carrying out urban terrorist attacks in Turkey, often seen as a hardline offshoot or affiliate of the PKK.
  • D. Take What You Take
    "Take What You Take" is a song by English singer Lily Allen from her debut studio album "Alright, Still."
  • E. takin
    The takin is a large, muscular goat-antelope native to the eastern Himalayas and surrounding mountain ranges, known for its thick golden coat and distinctive Roman-nosed profile.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679bcf2c8190ac6e969178d8acde completed April 20, 2026, 5:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082de8a0dc8190a4b7ecc580f720f0 completed May 16, 2026, 8:42 a.m.
NEDg Description generation batch_6a082ec3d1348190baa740b2c28af65c completed May 16, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_6a082f9cf5908190b9b766c70164ee75 completed May 16, 2026, 8:49 a.m.
Created at: April 11, 2026, 11:33 p.m.