Triple

T12685729
Position Surface form Disambiguated ID Type / Status
Subject Tony Stonem E303060 entity
Predicate hasFriend P8712 FINISHED
Object Chris Miles
Chris Miles is a hedonistic, impulsive, and often troubled teenager from the British TV series "Skins," known for his wild lifestyle and underlying vulnerability.
E1000060 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: Chris Miles | Statement: [Tony Stonem, hasFriend, Chris Miles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Miles
Context triple: [Tony Stonem, hasFriend, Chris Miles]
  • A. Neil Welliver
    Neil Welliver was an American painter best known for his large-scale, realist landscapes of the Maine wilderness.
  • B. Sean Biggerstaff
    Sean Biggerstaff is a Scottish actor best known for playing Oliver Wood in the Harry Potter film series.
  • C. Mike Conovan
    Mike Conovan is a fictional boxing manager and trainer who serves as one of the two titular protagonists in the 1952 sports comedy film "Pat and Mike."
  • D. Mike Mitchell
    Mike Mitchell is an American film director known for his work on animated and family films such as "Shrek Forever After," "Trolls," and "The Lego Movie 2: The Second Part."
  • E. Sean F. Cox
    Sean F. Cox is an American federal judge who serves as the chief judge of the United States District Court for the Eastern District of Michigan.
  • 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: Chris Miles
Triple: [Tony Stonem, hasFriend, Chris Miles]
Generated description
Chris Miles is a hedonistic, impulsive, and often troubled teenager from the British TV series "Skins," known for his wild lifestyle and underlying vulnerability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chris Miles
Target entity description: Chris Miles is a hedonistic, impulsive, and often troubled teenager from the British TV series "Skins," known for his wild lifestyle and underlying vulnerability.
  • A. Neil Welliver
    Neil Welliver was an American painter best known for his large-scale, realist landscapes of the Maine wilderness.
  • B. Sean Biggerstaff
    Sean Biggerstaff is a Scottish actor best known for playing Oliver Wood in the Harry Potter film series.
  • C. Mike Conovan
    Mike Conovan is a fictional boxing manager and trainer who serves as one of the two titular protagonists in the 1952 sports comedy film "Pat and Mike."
  • D. Mike Mitchell
    Mike Mitchell is an American film director known for his work on animated and family films such as "Shrek Forever After," "Trolls," and "The Lego Movie 2: The Second Part."
  • E. Sean F. Cox
    Sean F. Cox is an American federal judge who serves as the chief judge of the United States District Court for the Eastern District of Michigan.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d7cd4c81909521839ef5859799 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c7a79908190b83a868090990bbe completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67db4dd2081909a238e368645e899 completed May 2, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f67ec570a881909c98471b701999f0 completed May 2, 2026, 10:46 p.m.
Created at: April 9, 2026, 5:21 p.m.