Triple

T15625245
Position Surface form Disambiguated ID Type / Status
Subject Lightyear E375660 entity
Predicate cinematographyBy P1953 FINISHED
Object Ian Megibben
Ian Megibben is a cinematographer best known for his work on the animated feature film "Lightyear."
E1228475 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: Ian Megibben | Statement: [Lightyear, cinematographyBy, Ian Megibben]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ian Megibben
Context triple: [Lightyear, cinematographyBy, Ian Megibben]
  • A. Ian Megibben
    Ian Megibben is a cinematographer best known for his work on the animated film "Finding Dory."
  • B. Ben Haggerty
    Ben Haggerty, better known by his stage name Macklemore, is an American rapper and songwriter recognized for hits like "Thrift Shop" and "Can't Hold Us."
  • C. Don Brautigam
    Don Brautigam was an American illustrator best known for his striking, realistic cover art for horror and thriller novels, including works by Stephen King.
  • D. Grant Bardsley
    Grant Bardsley is a British voice actor best known for voicing the protagonist Taran in Disney’s animated film "The Black Cauldron."
  • E. Michele Gossett
    Michele Gossett is known as the wife of American actor Robert Gossett.
  • 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: Ian Megibben
Triple: [Lightyear, cinematographyBy, Ian Megibben]
Generated description
Ian Megibben is a cinematographer best known for his work on the animated feature film "Lightyear."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ian Megibben
Target entity description: Ian Megibben is a cinematographer best known for his work on the animated feature film "Lightyear."
  • A. Ian Megibben
    Ian Megibben is a cinematographer best known for his work on the animated film "Finding Dory."
  • B. Ben Haggerty
    Ben Haggerty, better known by his stage name Macklemore, is an American rapper and songwriter recognized for hits like "Thrift Shop" and "Can't Hold Us."
  • C. Don Brautigam
    Don Brautigam was an American illustrator best known for his striking, realistic cover art for horror and thriller novels, including works by Stephen King.
  • D. Grant Bardsley
    Grant Bardsley is a British voice actor best known for voicing the protagonist Taran in Disney’s animated film "The Black Cauldron."
  • E. Michele Gossett
    Michele Gossett is known as the wife of American actor Robert Gossett.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9e5e248190ae54cda1fde51efb completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a008a1f8d648190b9c6280b875a17e4 completed May 10, 2026, 1:37 p.m.
NEDg Description generation batch_6a008ccaba388190afb9f17e20716d2e completed May 10, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_6a008d3c6fe081908c70e884eafb576f completed May 10, 2026, 1:50 p.m.
Created at: April 10, 2026, 4:14 a.m.