Triple
T2431131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Woodward |
E52846
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Kathleen Middlekauff |
E52846
|
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: Kathleen Middlekauff | Statement: [Bob Woodward, spouse, Kathleen Middlekauff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathleen Middlekauff Context triple: [Bob Woodward, spouse, Kathleen Middlekauff]
-
A.
Kathleen Middlekauff
chosen
Kathleen Middlekauff is an American academic and former spouse of investigative journalist and author Bob Woodward.
-
B.
Margaret Pomeranz
Margaret Pomeranz is an Australian film critic and television presenter best known for co-hosting long-running movie review programs such as "The Movie Show" and "At the Movies."
-
C.
Mary Louise Miller
Mary Louise Miller was an actress who appeared in early American silent cinema, including the 1926 film "Sparrows."
-
D.
Stacy Schiff
Stacy Schiff is a Pulitzer Prize–winning American biographer and essayist known for acclaimed works on figures such as Cleopatra, Vera Nabokov, and the Salem witch trials.
-
E.
Eileen Power
Eileen Power was a prominent British economic historian and medievalist known for her influential work on medieval society, trade, and women's history.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9c767a88190b31cbccdce8e8982 |
completed | March 7, 2026, 6:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf68d6a481909acd43eb31660f0e |
completed | March 9, 2026, 12:39 p.m. |
Created at: March 6, 2026, 9:43 p.m.