Triple

T26622624
Position Surface form Disambiguated ID Type / Status
Subject Benjamin Coffin III E668242 entity
Predicate offersDealTo P177105 FINISHED
Object Mark Cohen
Mark Cohen is a struggling filmmaker and one of the central characters in the rock musical "Rent," known for documenting the lives of his bohemian friends in New York City's East Village.
 E666279 NE FINISHED

How this triple was built (3 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: Mark Cohen | Statement: [Benjamin Coffin III, offersDealTo, Mark Cohen]
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: Mark Cohen
Triple: [Benjamin Coffin III, offersDealTo, Mark Cohen]
Generated description
Mark Cohen is a struggling filmmaker and one of the central characters in the rock musical "Rent," known for documenting the lives of his bohemian friends in New York City's East Village.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: offersDealTo
Context triple: [Benjamin Coffin III, offersDealTo, Mark Cohen]
  • A. offersEdition
    Indicates that one entity provides or makes available a particular version or edition of another entity.
  • B. offersPass
    Indicates that one entity provides or makes available a pass (such as a ticket, permit, or access credential) to another entity.
  • C. offersObject
    Indicates that a subject provides or makes available a specific object to another party as an offer.
  • D. offersAccess
    Indicates that one entity provides another entity with the ability or permission to use, enter, or interact with a resource, service, or location.
  • E. offersInterface
    Indicates that one entity provides or exposes a specific interface that another entity can use or interact with.
  • F. None of above. chosen

Provenance (7 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_69ee9cff507c819092b95bf7219a702e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f6f85bfba48190aba95b40642a8ca7 completed May 3, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a123a923f948190a3eb997393d0cfbc completed May 23, 2026, 11:38 p.m.
NEDg Description generation batch_6a123ba9aea081909f20ff78ab91747e completed May 23, 2026, 11:43 p.m.
NED2 Entity disambiguation (via description) batch_6a123c4f67388190a885b5ce89f9baa6 completed May 23, 2026, 11:46 p.m.
PD Predicate disambiguation batch_69f6f65fd1d08190b88e5e68ba268500 completed May 3, 2026, 7:16 a.m.
PDg Predicate description generation batch_69f6f854486c81909396d944a55e03ab completed May 3, 2026, 7:25 a.m.
Created at: April 27, 2026, 2:21 a.m.