Triple

T2620458
Position Surface form Disambiguated ID Type / Status
Subject Jenny Holzer E58995 entity
Predicate familyName P18 FINISHED
Object Holzer
Holzer is the surname of Jenny Holzer, an American conceptual artist renowned for her text-based public art installations and provocative use of language.
E284056 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: Holzer | Statement: [Jenny Holzer, familyName, Holzer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holzer
Context triple: [Jenny Holzer, familyName, Holzer]
  • A. Riedholz
    Riedholz is a small Swiss municipality located in the canton of Solothurn.
  • B. Emigholz
    Emigholz is a German surname most notably associated with filmmaker and artist Heinz Emigholz.
  • C. Baumwerder
    Baumwerder is a small island located in Tegeler See, a lake in the Berlin district of Reinickendorf, Germany.
  • D. How Wood
    How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
  • E. Plauen
    Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
  • 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: Holzer
Triple: [Jenny Holzer, familyName, Holzer]
Generated description
Holzer is the surname of Jenny Holzer, an American conceptual artist renowned for her text-based public art installations and provocative use of language.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Holzer
Target entity description: Holzer is the surname of Jenny Holzer, an American conceptual artist renowned for her text-based public art installations and provocative use of language.
  • A. Riedholz
    Riedholz is a small Swiss municipality located in the canton of Solothurn.
  • B. Emigholz
    Emigholz is a German surname most notably associated with filmmaker and artist Heinz Emigholz.
  • C. Baumwerder
    Baumwerder is a small island located in Tegeler See, a lake in the Berlin district of Reinickendorf, Germany.
  • D. How Wood
    How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
  • E. Plauen
    Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd897acb481909a976b70304cc30e completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af908ec0cc8190ab8feb8f237eac4b completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af91a3b4588190acfb360dac6e5ce0 completed March 10, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69af920b7fcc8190b5a34c7c626a1c5d completed March 10, 2026, 3:37 a.m.
Created at: March 6, 2026, 9:50 p.m.