Triple
T8134495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Winston Syme Henry |
E189934
|
entity |
| Predicate | notableRelative |
P367
|
FINISHED |
| Object | John Syme |
E714138
|
NE FINISHED |
How this triple was built (2 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, notableRelative, John Syme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Syme Context triple: [Sarah Winston Syme Henry, notableRelative, John Syme]
-
A.
John Syme
chosen
John Syme was the husband of Sarah Winston Syme Henry, connecting him to the prominent colonial Henry family of Virginia.
-
B.
William Praed
William Praed was a prominent English banker and politician of the late 18th and early 19th centuries.
-
C.
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.
-
D.
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.
-
E.
Robert Hill
Robert Hill was a screenwriter known for his work on the film "The Big Operator" and other mid-20th-century American movies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ccbec8491c81908362d44c42fc8568 |
completed | April 1, 2026, 6:44 a.m. |
Created at: March 30, 2026, 5:35 p.m.