Triple

T13079643
Position Surface form Disambiguated ID Type / Status
Subject Human Be-In E310168 entity
Predicate organizedBy P123 FINISHED
Object Allen Cohen
Allen Cohen was a counterculture activist and poet best known for helping organize the landmark 1967 Human Be-In in San Francisco’s Golden Gate Park.
 E1056802 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: Allen Cohen | Statement: [Human Be-In, organizedBy, Allen Cohen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Allen Cohen
Context triple: [Human Be-In, organizedBy, Allen Cohen]
  • A. Andrew Cohen
    Andrew Cohen is an American television producer and media executive best known for creating and hosting Bravo’s late-night talk show "Watch What Happens Live with Andy Cohen."
  • B. Andrew Cohen
    Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
  • C. Andrew Cohen
    Andrew Cohen is a theoretical physicist known for his work in particle physics and for being one of Howard Georgi’s prominent students.
  • D. Jon Cohen
    Jon Cohen is a screenwriter best known for co-writing the science fiction film "Minority Report."
  • E. Rob Cohen
    Rob Cohen is an American film director and producer best known for helming high-profile action and adventure movies such as "The Fast and the Furious" and "xXx."
  • 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: Allen Cohen
Triple: [Human Be-In, organizedBy, Allen Cohen]
Generated description
Allen Cohen was a counterculture activist and poet best known for helping organize the landmark 1967 Human Be-In in San Francisco’s Golden Gate Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Allen Cohen
Target entity description: Allen Cohen was a counterculture activist and poet best known for helping organize the landmark 1967 Human Be-In in San Francisco’s Golden Gate Park.
  • A. Andrew Cohen
    Andrew Cohen is an American television producer and media executive best known for creating and hosting Bravo’s late-night talk show "Watch What Happens Live with Andy Cohen."
  • B. Andrew Cohen
    Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
  • C. Andrew Cohen
    Andrew Cohen is a theoretical physicist known for his work in particle physics and for being one of Howard Georgi’s prominent students.
  • D. Jon Cohen
    Jon Cohen is a screenwriter best known for co-writing the science fiction film "Minority Report."
  • E. Rob Cohen
    Rob Cohen is an American film director and producer best known for helming high-profile action and adventure movies such as "The Fast and the Furious" and "xXx."
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98119cb7081908b78ffe83ec99851 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d3398b08190a0fc4b6044576e0a completed May 3, 2026, 7:08 p.m.
NEDg Description generation batch_69f79e77b5e88190a85f4061c8abb8a4 completed May 3, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f79fa5249481909b2c046ed9801371 completed May 3, 2026, 7:19 p.m.
Created at: April 9, 2026, 9:01 p.m.