Triple

T3009836
Position Surface form Disambiguated ID Type / Status
Subject Warcraft E81988 entity
Predicate castMember P1668 FINISHED
Object Ben Schnetzer
Ben Schnetzer is an American actor known for his roles in films such as "Pride," "The Book Thief," and the fantasy epic "Warcraft."
E344706 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: Ben Schnetzer | Statement: [Warcraft, castMember, Ben Schnetzer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Schnetzer
Context triple: [Warcraft, castMember, Ben Schnetzer]
  • A. Ken Schretzmann
    Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
  • B. Kirk Schulz
    Kirk Schulz is an American academic leader and engineer who serves as the president of Washington State University.
  • C. Eric Wetzels
    Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
  • D. Brian Schmetzer
    Brian Schmetzer is an American soccer coach best known for leading Seattle Sounders FC to multiple MLS Cup titles and establishing the club as a perennial league contender.
  • E. Michael Wandmacher
    Michael Wandmacher is an American film and television composer known for his work on horror and action projects, including the score for "My Bloody Valentine 3D."
  • 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: Ben Schnetzer
Triple: [Warcraft, castMember, Ben Schnetzer]
Generated description
Ben Schnetzer is an American actor known for his roles in films such as "Pride," "The Book Thief," and the fantasy epic "Warcraft."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ben Schnetzer
Target entity description: Ben Schnetzer is an American actor known for his roles in films such as "Pride," "The Book Thief," and the fantasy epic "Warcraft."
  • A. Ken Schretzmann
    Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
  • B. Kirk Schulz
    Kirk Schulz is an American academic leader and engineer who serves as the president of Washington State University.
  • C. Eric Wetzels
    Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
  • D. Brian Schmetzer
    Brian Schmetzer is an American soccer coach best known for leading Seattle Sounders FC to multiple MLS Cup titles and establishing the club as a perennial league contender.
  • E. Michael Wandmacher
    Michael Wandmacher is an American film and television composer known for his work on horror and action projects, including the score for "My Bloody Valentine 3D."
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a4ccbf08190a7580c9e758804d0 completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e81339d08190aa74556cc68fba20 completed March 12, 2026, 4:21 p.m.
NEDg Description generation batch_69b2ec2d96cc8190987d4dff1515384e completed March 12, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_69b2ecdecb6481908c7af9d6925f6e53 completed March 12, 2026, 4:42 p.m.
Created at: March 8, 2026, 3 p.m.