Triple

T13831122
Position Surface form Disambiguated ID Type / Status
Subject The Adam Project E332399 entity
Predicate editedBy P1954 FINISHED
Object Jonathan Corn
Jonathan Corn is a film editor best known for his work on the science-fiction adventure movie "The Adam Project."
E1076004 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: Jonathan Corn | Statement: [The Adam Project, editedBy, Jonathan Corn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Corn
Context triple: [The Adam Project, editedBy, Jonathan Corn]
  • A. Jon Kern
    Jon Kern is a software engineer and consultant best known as one of the original co-authors of the Agile Manifesto, helping to shape modern agile software development practices.
  • B. Justin Cornwell
    Justin Cornwell is an American actor best known for starring opposite Bill Paxton in the television adaptation of "Training Day."
  • C. Jason Crouse
    Jason Crouse is a fictional defense investigator and love interest of Alicia Florrick on the legal drama television series "The Good Wife."
  • D. Jason Bittner
    Jason Bittner is an American heavy metal drummer best known for his work with the band Shadows Fall and his highly technical, influential playing style.
  • E. Scott Heiferman
    Scott Heiferman is an American entrepreneur best known for co-founding the social networking platform Meetup, which helps people organize and attend local in-person events.
  • 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: Jonathan Corn
Triple: [The Adam Project, editedBy, Jonathan Corn]
Generated description
Jonathan Corn is a film editor best known for his work on the science-fiction adventure movie "The Adam Project."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jonathan Corn
Target entity description: Jonathan Corn is a film editor best known for his work on the science-fiction adventure movie "The Adam Project."
  • A. Jon Kern
    Jon Kern is a software engineer and consultant best known as one of the original co-authors of the Agile Manifesto, helping to shape modern agile software development practices.
  • B. Justin Cornwell
    Justin Cornwell is an American actor best known for starring opposite Bill Paxton in the television adaptation of "Training Day."
  • C. Jason Crouse
    Jason Crouse is a fictional defense investigator and love interest of Alicia Florrick on the legal drama television series "The Good Wife."
  • D. Jason Bittner
    Jason Bittner is an American heavy metal drummer best known for his work with the band Shadows Fall and his highly technical, influential playing style.
  • E. Scott Heiferman
    Scott Heiferman is an American entrepreneur best known for co-founding the social networking platform Meetup, which helps people organize and attend local in-person events.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0299334481908c2b271eaf06e4b7 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbc31a91608190a80a69be38ac7f71 completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fc432c35ec8190bb7183d902bf7d62 completed May 7, 2026, 7:45 a.m.
NED2 Entity disambiguation (via description) batch_69fc43e71f708190903a63388b664ba5 completed May 7, 2026, 7:48 a.m.
Created at: April 9, 2026, 10:13 p.m.