Triple

T15368184
Position Surface form Disambiguated ID Type / Status
Subject Lords of Dogtown E367469 entity
Predicate stars P1956 FINISHED
Object John Robinson
John Robinson is an American actor best known for his role in the skateboarding drama film "Lords of Dogtown."
 E1152816 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: John Robinson | Statement: [Lords of Dogtown, stars, John Robinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Robinson
Context triple: [Lords of Dogtown, stars, John Robinson]
  • A. John Robinson
    John Robinson was an influential early 17th-century English Separatist pastor and theologian best known for guiding the Pilgrim Fathers who later founded Plymouth Colony in New England.
  • B. John Robinson
    John Robinson is the steadfast and resourceful father and commander of the Robinson family in the 2018 reboot of the science fiction series "Lost in Space."
  • C. John Robinson
    John Robinson is the fictional leader and father of the spacefaring Robinson family in the 1998 science fiction film "Lost in Space."
  • D. John Robinson
    John Robinson was the husband of Harlem Renaissance figure and businesswoman A'Lelia Walker, connecting him to the prominent Walker family legacy.
  • E. John Robinson
    John Robinson is an actor known for his role in the independent drama film "Wendy and Lucy."
  • 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: John Robinson
Triple: [Lords of Dogtown, stars, John Robinson]
Generated description
John Robinson is an American actor best known for his role in the skateboarding drama film "Lords of Dogtown."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Robinson
Target entity description: John Robinson is an American actor best known for his role in the skateboarding drama film "Lords of Dogtown."
  • A. John Robinson
    John Robinson is an actor known for his role in the independent drama film "Wendy and Lucy."
  • B. John Robinson
    John Robinson was a British actor best known for his film and television work in the mid-20th century, including prominent roles in science fiction productions.
  • C. John Robinson
    John Robinson is the fictional leader and father of the spacefaring Robinson family in the 1998 science fiction film "Lost in Space."
  • D. John Robinson
    John Robinson was the husband of Harlem Renaissance figure and businesswoman A'Lelia Walker, connecting him to the prominent Walker family legacy.
  • E. John Robinson
    John Robinson was an influential early 17th-century English Separatist pastor and theologian best known for guiding the Pilgrim Fathers who later founded Plymouth Colony in New England.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4a7cdc8190b7b48c97e774c306 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b50703881909ca71c985bc1c7b5 completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0cb1b9188190b0eb99661d26206f completed May 9, 2026, 10:30 a.m.
NED2 Entity disambiguation (via description) batch_69ff0d3182f08190abd463d921e1830e completed May 9, 2026, 10:32 a.m.
Created at: April 10, 2026, 3:18 a.m.