Triple
T20911837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Thomas |
E514967
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Helen Thomas |
—
|
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: Helen Thomas | Statement: [Edward Thomas, spouse, Helen Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Thomas Context triple: [Edward Thomas, spouse, Helen Thomas]
-
A.
Helen Thomas
chosen
Helen Thomas was an American actress active in early 20th-century stage and film, known in part for her marriage to actor Lee Tracy.
-
B.
Hanni McDodd
Hanni McDodd is one of the many children in the large McDodd family from Dr. Seuss’s "Horton Hears a Who!" universe, living in Whoville.
-
C.
Sally Quinn
Sally Quinn is an American journalist, author, and longtime Washington Post writer known for her coverage of Washington society and politics.
-
D.
Cokie Roberts
Cokie Roberts was an American journalist and author best known as a longtime political commentator for NPR and ABC News.
-
E.
Margaret Warner
Margaret Warner was a benefactor and namesake whose contributions to education led to the University of Rochester’s Warner School of Education bearing her name.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec5f5bc48190a8e7e6af60b158fb |
completed | April 21, 2026, 3:17 a.m. |
Created at: April 16, 2026, 12:48 p.m.