Triple

T4440911
Position Surface form Disambiguated ID Type / Status
Subject Commando E95767 entity
Predicate starring P1507 FINISHED
Object James Olson
James Olson was an American actor known for his roles in films and television during the 1960s and 1970s, including action and war movies.
 E496348 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: James Olson | Statement: [Commando, starring, James Olson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: James Olson
Context triple: [Commando, starring, James Olson]
  • A. Jim Olson
    Jim Olson is a sports executive who serves as the president of the NBA’s Utah Jazz franchise.
  • B. Ben Olsen
    Ben Olsen is a former American soccer player and coach best known for his long association with D.C. United in Major League Soccer.
  • C. Mancur Olson
    Mancur Olson was an American economist and social scientist best known for his work on collective action, public goods, and the logic of group behavior in political economy.
  • D. Culbert Olson
    Culbert Olson was a Democratic politician who served as the 29th governor of California from 1939 to 1943 and was known for his progressive and secular views.
  • E. Brian Oliver
    Brian Oliver is a film producer best known for his work on acclaimed movies such as the psychological thriller "Black Swan."
  • 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: James Olson
Triple: [Commando, starring, James Olson]
Generated description
James Olson was an American actor known for his roles in films and television during the 1960s and 1970s, including action and war movies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: James Olson
Target entity description: James Olson was an American actor known for his roles in films and television during the 1960s and 1970s, including action and war movies.
  • A. Jim Olson
    Jim Olson is a sports executive who serves as the president of the NBA’s Utah Jazz franchise.
  • B. Ben Olsen
    Ben Olsen is a former American soccer player and coach best known for his long association with D.C. United in Major League Soccer.
  • C. Mancur Olson
    Mancur Olson was an American economist and social scientist best known for his work on collective action, public goods, and the logic of group behavior in political economy.
  • D. Culbert Olson
    Culbert Olson was a Democratic politician who served as the 29th governor of California from 1939 to 1943 and was known for his progressive and secular views.
  • E. Brian Oliver
    Brian Oliver is a film producer best known for his work on acclaimed movies such as the psychological thriller "Black Swan."
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355ac05e081908411089c05fc36bd completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69bec336e95881908c18b304b6d92411 completed March 21, 2026, 4:11 p.m.
NEDg Description generation batch_69bec505a5dc81908f79c1ade107c4ce completed March 21, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69bec654fc4881909bf5458cdafc7ffd completed March 21, 2026, 4:24 p.m.
Created at: March 12, 2026, 11:32 p.m.