Triple

T21764384
Position Surface form Disambiguated ID Type / Status
Subject High Tide E537239 entity
Predicate starring P1507 FINISHED
Object John Clayton
John Clayton is an actor best known for his role in the film "High Tide."
 E1501337 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 Clayton | Statement: [High Tide, starring, John Clayton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Clayton
Context triple: [High Tide, starring, John Clayton]
  • A. John Clayton
    John Clayton was an 18th-century English-born botanist and plant collector in colonial Virginia whose work significantly contributed to early North American botany.
  • B. John Clayton
    John Clayton is the aristocratic Englishman better known as Tarzan, the iconic jungle hero created by Edgar Rice Burroughs.
  • C. John Clayton
    John Clayton is an acclaimed American jazz bassist, composer, arranger, and bandleader known for his work with the Clayton-Hamilton Jazz Orchestra and collaborations with numerous jazz greats.
  • D. John Clayton
    John Clayton was a prominent American sports journalist and NFL insider best known for his long tenure covering professional football for ESPN.
  • E. Christopher Clayton
    Christopher Clayton is a distinguished geoscientist recognized for his significant contributions to the Earth sciences, as evidenced by his receipt of the prestigious William Smith Medal.
  • 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 Clayton
Triple: [High Tide, starring, John Clayton]
Generated description
John Clayton is an actor best known for his role in the film "High Tide."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Clayton
Target entity description: John Clayton is an actor best known for his role in the film "High Tide."
  • A. John Clayton
    John Clayton is an acclaimed American jazz bassist, composer, arranger, and bandleader known for his work with the Clayton-Hamilton Jazz Orchestra and collaborations with numerous jazz greats.
  • B. John Clayton
    John Clayton was an 18th-century English-born botanist and plant collector in colonial Virginia whose work significantly contributed to early North American botany.
  • C. John Clayton
    John Clayton was a prominent American sports journalist and NFL insider best known for his long tenure covering professional football for ESPN.
  • D. John Clayton
    John Clayton is the aristocratic Englishman better known as Tarzan, the iconic jungle hero created by Edgar Rice Burroughs.
  • E. Christopher Clayton
    Christopher Clayton is a distinguished geoscientist recognized for his significant contributions to the Earth sciences, as evidenced by his receipt of the prestigious William Smith Medal.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031a8a7f08190a4e50ebc24219585 completed April 28, 2026, 4:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3677fa80819082dbe7ba2fcb0421 completed May 17, 2026, 9:43 p.m.
NEDg Description generation batch_6a0a373aca708190aae867f78c87b956 completed May 17, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_6a0a37e0bed48190b0319d62eaff5d1e completed May 17, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:51 p.m.