Triple

T6491473
Position Surface form Disambiguated ID Type / Status
Subject Ed Ruscha E148045 entity
Predicate notableWork P4 FINISHED
Object OOF
OOF is a famous 1960s text-based painting by American artist Ed Ruscha that features the bold, comic-style word “OOF” and exemplifies his exploration of language and pop culture.
 E596183 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: OOF | Statement: [Ed Ruscha, notableWork, OOF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OOF
Context triple: [Ed Ruscha, notableWork, OOF]
  • A. OON
    OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
  • B. OFF
    OFF is the IATA airport code for Offutt Air Force Base, a major United States Air Force installation near Omaha, Nebraska.
  • C. OF
    OF is the vehicle registration code used on license plates for vehicles registered in the Offenbach district in the German state of Hesse.
  • D. OFR
    OFR is a U.S. Treasury Department bureau that collects and analyzes financial data to support oversight of the stability of the financial system.
  • E. OFU
    OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu in American Samoa.
  • 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: OOF
Triple: [Ed Ruscha, notableWork, OOF]
Generated description
OOF is a famous 1960s text-based painting by American artist Ed Ruscha that features the bold, comic-style word “OOF” and exemplifies his exploration of language and pop culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OOF
Target entity description: OOF is a famous 1960s text-based painting by American artist Ed Ruscha that features the bold, comic-style word “OOF” and exemplifies his exploration of language and pop culture.
  • A. OON
    OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
  • B. OFF
    OFF is the IATA airport code for Offutt Air Force Base, a major United States Air Force installation near Omaha, Nebraska.
  • C. OF
    OF is the vehicle registration code used on license plates for vehicles registered in the Offenbach district in the German state of Hesse.
  • D. OFR
    OFR is a U.S. Treasury Department bureau that collects and analyzes financial data to support oversight of the stability of the financial system.
  • E. OFU
    OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu in American Samoa.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a9a8d8481908d88e5c9f0c773f7 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653bcb63081908be29abd0084d266 completed March 27, 2026, 9:54 a.m.
NEDg Description generation batch_69c6553c17bc81908719ecc7db9e3960 completed March 27, 2026, 10 a.m.
NED2 Entity disambiguation (via description) batch_69c655f4ee5c81909620e732b72ee694 completed March 27, 2026, 10:03 a.m.
Created at: March 22, 2026, 4:53 p.m.