Triple

T8134484
Position Surface form Disambiguated ID Type / Status
Subject Sarah Winston Syme Henry E189934 entity
Predicate spouse P13 FINISHED
Object John Syme
John Syme was the husband of Sarah Winston Syme Henry, connecting him to the prominent colonial Henry family of Virginia.
E714138 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 Syme | Statement: [Sarah Winston Syme Henry, spouse, John Syme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Syme
Context triple: [Sarah Winston Syme Henry, spouse, John Syme]
  • A. William Praed
    William Praed was a prominent English banker and politician of the late 18th and early 19th centuries.
  • B. John Bevan
    John Bevan was a British intelligence officer who played a key role in planning and overseeing Allied deception operations during World War II.
  • C. Michael Britten
    Michael Britten is the protagonist of the television series "Awake," a police detective who simultaneously experiences two alternate realities following a car accident.
  • D. Robert Hill
    Robert Hill was a screenwriter known for his work on the film "The Big Operator" and other mid-20th-century American movies.
  • E. George Lloyd
    George Lloyd was an American character actor active in the mid-20th century, appearing in numerous films and serials, often in supporting or bit roles.
  • 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 Syme
Triple: [Sarah Winston Syme Henry, spouse, John Syme]
Generated description
John Syme was the husband of Sarah Winston Syme Henry, connecting him to the prominent colonial Henry family of Virginia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Syme
Target entity description: John Syme was the husband of Sarah Winston Syme Henry, connecting him to the prominent colonial Henry family of Virginia.
  • A. William Praed
    William Praed was a prominent English banker and politician of the late 18th and early 19th centuries.
  • B. John Bevan
    John Bevan was a British intelligence officer who played a key role in planning and overseeing Allied deception operations during World War II.
  • C. Michael Britten
    Michael Britten is the protagonist of the television series "Awake," a police detective who simultaneously experiences two alternate realities following a car accident.
  • D. Robert Hill
    Robert Hill was a screenwriter known for his work on the film "The Big Operator" and other mid-20th-century American movies.
  • E. George Lloyd
    George Lloyd was an American character actor active in the mid-20th century, appearing in numerous films and serials, often in supporting or bit roles.
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43bbae608190bdc1afe6f0ab83ae completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9488f0bc8190a4fdf6d021f54e13 completed April 1, 2026, 3:44 a.m.
NEDg Description generation batch_69cc95c180188190a2d541e8ea9a4c57 completed April 1, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69cc970cf55c8190abf432ac68d6bbc3 completed April 1, 2026, 3:54 a.m.
Created at: March 30, 2026, 5:35 p.m.