Triple
T17411633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stedman Graham |
E423378
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Wendy Graham |
—
|
NE NERFINISHED |
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: Wendy Graham | Statement: [Stedman Graham, child, Wendy Graham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendy Graham Context triple: [Stedman Graham, child, Wendy Graham]
-
A.
Wendy Graham
chosen
Wendy Graham is the daughter of American educator, author, and businessman Stedman Graham.
-
B.
Mary Wakefield
Mary Wakefield is a British journalist and magazine editor best known for her work at The Spectator and her marriage to political strategist Dominic Cummings.
-
C.
Wendy Hughes
Wendy Hughes was an acclaimed Australian actress known for her versatile performances in film, television, and theatre from the 1970s onward.
-
D.
Mary Cox
Mary Cox is best known as the longtime wife of American actor and musician Ronny Cox.
-
E.
Mary Cox
Mary Cox is a central character in the British television drama "Our Friends in the North," whose life and relationships reflect the social and political changes in late 20th-century Britain.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b0b56788190ba012788f32afb78 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.