Triple

T17275685
Position Surface form Disambiguated ID Type / Status
Subject Eve Mavrakis E419385 entity
Predicate hasChild P369 FINISHED
Object Jamyan McGregor NE ONDG

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: Jamyan McGregor | Statement: [Eve Mavrakis, hasChild, Jamyan McGregor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamyan McGregor
Context triple: [Eve Mavrakis, hasChild, Jamyan McGregor]
  • A. Angus MacKay
    Angus MacKay was a British character actor best known to science fiction fans for his roles in the classic Doctor Who television series.
  • B. Angus McGill
    Angus McGill was a British journalist and humorist known for his witty newspaper columns and light comic writing.
  • C. Duncan McGregor
    Duncan McGregor was the individual after whom Mount McGregor in New York was named, likely a locally significant landowner or early settler associated with the area.
  • D. Finlay MacRae
    Finlay MacRae is a notable individual bearing the Scottish surname MacRae, recognized for contributions associated with that family name.
  • E. Craig McCenzie
    Craig McCenzie is the central protagonist of the action film "Soldiers of Fortune," leading a dangerous mission as a skilled and battle-hardened soldier.
  • 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: Jamyan McGregor
Triple: [Eve Mavrakis, hasChild, Jamyan McGregor]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jamyan McGregor
Target entity description: Jamyan McGregor is the adopted daughter of Scottish actor Ewan McGregor and production designer Eve Mavrakis.
  • A. Angus MacKay
    Angus MacKay was a British character actor best known to science fiction fans for his roles in the classic Doctor Who television series.
  • B. Angus McGill
    Angus McGill was a British journalist and humorist known for his witty newspaper columns and light comic writing.
  • C. Duncan McGregor
    Duncan McGregor was the individual after whom Mount McGregor in New York was named, likely a locally significant landowner or early settler associated with the area.
  • D. Finlay MacRae
    Finlay MacRae is a notable individual bearing the Scottish surname MacRae, recognized for contributions associated with that family name.
  • E. Craig McCenzie
    Craig McCenzie is the central protagonist of the action film "Soldiers of Fortune," leading a dangerous mission as a skilled and battle-hardened soldier.
  • F. None of above. chosen

Provenance (4 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4332625c48190a25bf51543d797c3 completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195488d2c81908ac6c19f54f61796 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01965807cc819088792a88b8a099d3 in_progress May 11, 2026, 8:42 a.m.
Created at: April 10, 2026, 5:40 a.m.