Triple

T14239406
Position Surface form Disambiguated ID Type / Status
Subject State of Decay E352967 entity
Predicate stars P1956 FINISHED
Object Tom Baker
Tom Baker is a British actor best known for his iconic portrayal of the Fourth Doctor in the long-running science fiction television series "Doctor Who."
 E115893 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 Baker | Statement: [State of Decay, stars, Tom Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Baker
Context triple: [State of Decay, stars, Tom Baker]
  • A. Tom Baker
    Tom Baker is a British actor best known for his iconic portrayal of the Fourth Doctor in the long-running science fiction television series "Doctor Who."
  • B. Tom Baker
    Tom Baker is the harried but loving father of twelve children in the family comedy film "Cheaper by the Dozen."
  • C. Jon Pertwee
    Jon Pertwee was a British actor best known for playing the Third Doctor in the long-running science fiction television series Doctor Who.
  • D. Sylvester McCoy
    Sylvester McCoy is a Scottish actor best known for playing the Seventh Doctor in the long-running British science fiction series "Doctor Who."
  • E. Peter Davison
    Peter Davison is a British actor best known for playing the Fifth Doctor in the long-running science fiction television series Doctor Who.
  • 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 Baker
Triple: [State of Decay, stars, Tom Baker]
Generated description
Tom Baker is a British actor best known for his iconic portrayal of the Fourth Doctor in the long-running science fiction television series "Doctor Who."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Baker
Target entity description: Tom Baker is a British actor best known for his iconic portrayal of the Fourth Doctor in the long-running science fiction television series "Doctor Who."
  • A. Tom Baker chosen
    Tom Baker is a British actor best known for his iconic portrayal of the Fourth Doctor in the long-running science fiction television series "Doctor Who."
  • B. Tom Baker
    Tom Baker is the harried but loving father of twelve children in the family comedy film "Cheaper by the Dozen."
  • C. Jon Pertwee
    Jon Pertwee was a British actor best known for playing the Third Doctor in the long-running science fiction television series Doctor Who.
  • D. Sylvester McCoy
    Sylvester McCoy is a Scottish actor best known for playing the Seventh Doctor in the long-running British science fiction series "Doctor Who."
  • E. Peter Davison
    Peter Davison is a British actor best known for playing the Fifth Doctor in the long-running science fiction television series Doctor Who.
  • F. None of above.

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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62432fb48190b153805b85c4f2d2 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd647b37a8819095fe0bb62e0373fb completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd6539793881909d1fd3985c171837 completed May 8, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_69fd65c06fc88190a7d2a84d7858b20f completed May 8, 2026, 4:25 a.m.
Created at: April 10, 2026, 1:08 a.m.