Triple

T985969
Position Surface form Disambiguated ID Type / Status
Subject Plan 9 from Outer Space E21280 entity
Predicate hasCastMember P2308 FINISHED
Object Tom Keene
Tom Keene was an American actor best known for his roles in Western films during the 1930s and 1940s.
 E129350 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: Tom Keene | Statement: [Plan 9 from Outer Space, hasCastMember, Tom Keene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Keene
Context triple: [Plan 9 from Outer Space, hasCastMember, Tom Keene]
  • A. Chub Feeney
    Chub Feeney was a longtime Major League Baseball executive who served as president of the National League from 1970 to 1986.
  • B. Tom Werner
    Tom Werner is an American television producer and businessman best known as a co-owner and chairman of the Boston Red Sox and Liverpool FC.
  • C. Pat Quinn
    Pat Quinn was a highly respected Canadian NHL coach and executive known for leading multiple teams to deep playoff runs and coaching Team Canada to international success.
  • D. Mike Dunleavy
    Mike Dunleavy is an American Republican politician and former educator who serves as the governor of Alaska.
  • E. Rob Cavallo
    Rob Cavallo is a Grammy-winning American record producer and music executive best known for his work with Green Day and other major rock artists.
  • 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: Tom Keene
Triple: [Plan 9 from Outer Space, hasCastMember, Tom Keene]
Generated description
Tom Keene was an American actor best known for his roles in Western films during the 1930s and 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Keene
Target entity description: Tom Keene was an American actor best known for his roles in Western films during the 1930s and 1940s.
  • A. Chub Feeney
    Chub Feeney was a longtime Major League Baseball executive who served as president of the National League from 1970 to 1986.
  • B. Tom Werner
    Tom Werner is an American television producer and businessman best known as a co-owner and chairman of the Boston Red Sox and Liverpool FC.
  • C. Pat Quinn
    Pat Quinn was a highly respected Canadian NHL coach and executive known for leading multiple teams to deep playoff runs and coaching Team Canada to international success.
  • D. Mike Dunleavy
    Mike Dunleavy is an American Republican politician and former educator who serves as the governor of Alaska.
  • E. Rob Cavallo
    Rob Cavallo is a Grammy-winning American record producer and music executive best known for his work with Green Day and other major rock artists.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b496b7308190a9c201244330b784 completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5992e4a88190b10b98efd24c3616 completed March 7, 2026, 5 p.m.
NEDg Description generation batch_69ac5a0047d481909989d470db7a3ae2 completed March 7, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_69ac5a8c4be88190b53a42dd356b99fb completed March 7, 2026, 5:04 p.m.
Created at: March 1, 2026, 7:41 p.m.