Triple

T1325444
Position Surface form Disambiguated ID Type / Status
Subject Limelight E28315 entity
Predicate editedBy P1954 FINISHED
Object Joe Inge
Joe Inge is an editor known for his work on the publication "Limelight."
E153945 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: Joe Inge | Statement: [Limelight, editedBy, Joe Inge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Inge
Context triple: [Limelight, editedBy, Joe Inge]
  • A. Henry Bergman
    Henry Bergman was an American character actor best known for his long association with Charlie Chaplin, appearing in and working on many of Chaplin’s classic silent films.
  • B. Peder Sather
    Peder Sather was a 19th-century Norwegian-born American banker and philanthropist known for his significant financial support of the University of California, Berkeley.
  • C. Ove Nielsen
    Ove Nielsen was a Danish maritime administrator who became the inaugural Secretary-General of the International Maritime Organization, helping to shape the early framework of global maritime regulation.
  • D. Dick Van Patten
    Dick Van Patten was an American actor best known for his role as the father on the television series "Eight Is Enough" and for numerous character roles in film and TV comedies.
  • E. John Lund
    John Lund was an American film actor active in the 1940s and 1950s, known for his leading and supporting roles in Hollywood comedies and dramas.
  • 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: Joe Inge
Triple: [Limelight, editedBy, Joe Inge]
Generated description
Joe Inge is an editor known for his work on the publication "Limelight."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joe Inge
Target entity description: Joe Inge is an editor known for his work on the publication "Limelight."
  • A. Henry Bergman
    Henry Bergman was an American character actor best known for his long association with Charlie Chaplin, appearing in and working on many of Chaplin’s classic silent films.
  • B. Peder Sather
    Peder Sather was a 19th-century Norwegian-born American banker and philanthropist known for his significant financial support of the University of California, Berkeley.
  • C. Ove Nielsen
    Ove Nielsen was a Danish maritime administrator who became the inaugural Secretary-General of the International Maritime Organization, helping to shape the early framework of global maritime regulation.
  • D. Dick Van Patten
    Dick Van Patten was an American actor best known for his role as the father on the television series "Eight Is Enough" and for numerous character roles in film and TV comedies.
  • E. John Lund
    John Lund was an American film actor active in the 1940s and 1950s, known for his leading and supporting roles in Hollywood comedies and dramas.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19fd2648190932a85eacb3e7ec4 completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc62764d88190b7d1fca10835f560 completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc6dbd80881908d640ee204ce9a12 completed March 8, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69acc8199f508190a86c18ad9085d341 completed March 8, 2026, 12:51 a.m.
Created at: March 1, 2026, 7:55 p.m.