Triple

T1262690
Position Surface form Disambiguated ID Type / Status
Subject Merian C. Cooper E12534 entity
Predicate givenName P17 FINISHED
Object Merian
Merian is a given name most notably borne by Merian C. Cooper, the American filmmaker and co-creator of the classic movie "King Kong."
 E144950 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: Merian | Statement: [Merian C. Cooper, givenName, Merian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Merian
Context triple: [Merian C. Cooper, givenName, Merian]
  • A. Heinsius
    Heinsius is a Dutch surname most notably associated with Anthonie Heinsius, a prominent statesman of the Dutch Republic in the late 17th and early 18th centuries.
  • B. Bloem
    Bloem is the commonly used short name for Bloemfontein, one of South Africa’s three capital cities and the judicial capital of the country.
  • C. Westerveld
    Westerveld is a rural municipality in the Dutch province of Drenthe, known for its natural landscapes, historic villages, and prehistoric dolmens.
  • D. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • E. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • 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: Merian
Triple: [Merian C. Cooper, givenName, Merian]
Generated description
Merian is a given name most notably borne by Merian C. Cooper, the American filmmaker and co-creator of the classic movie "King Kong."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Merian
Target entity description: Merian is a given name most notably borne by Merian C. Cooper, the American filmmaker and co-creator of the classic movie "King Kong."
  • A. Heinsius
    Heinsius is a Dutch surname most notably associated with Anthonie Heinsius, a prominent statesman of the Dutch Republic in the late 17th and early 18th centuries.
  • B. Bloem
    Bloem is the commonly used short name for Bloemfontein, one of South Africa’s three capital cities and the judicial capital of the country.
  • C. Westerveld
    Westerveld is a rural municipality in the Dutch province of Drenthe, known for its natural landscapes, historic villages, and prehistoric dolmens.
  • D. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • E. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc77f4c8190b97a0ceaa31cfd49 completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac9982a1588190999045eaae01e559 completed March 7, 2026, 9:32 p.m.
NEDg Description generation batch_69ac9abcc2ec8190acdec5d7cbf42b42 completed March 7, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69ac9b1ea9c48190ad1520f2f67111dd completed March 7, 2026, 9:39 p.m.
Created at: March 1, 2026, 7:50 p.m.