Triple
T14153151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theodore Dreiser |
E350737
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Sara White |
E350737
|
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: Sara White | Statement: [Theodore Dreiser, spouse, Sara White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara White Context triple: [Theodore Dreiser, spouse, Sara White]
-
A.
Sara White
chosen
Sara White was the wife of American novelist and journalist Theodore Dreiser.
-
B.
Sara Whitaker
Sara Whitaker is a supporting character in the comedy film "Daddy's Home 2," involved in the blended-family holiday chaos central to the movie's plot.
-
C.
Sara Whitaker
Sara Whitaker is known as the spouse of Brad Whitaker.
-
D.
Sharr White
Sharr White is an American playwright and television writer known for works such as "The Other Place" and his contributions to various TV dramas.
-
E.
Cat Whitehill
Cat Whitehill is a former American professional soccer defender and U.S. women’s national team member who played in the Women’s United Soccer Association and Women’s Professional Soccer leagues.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6133754881908e1e97db71772deb |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7ea34408190830263d7f5a88ce9 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 10, 2026, 12:57 a.m.