Triple
T4386178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Ford |
E99246
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Mary McBride Smith |
E151870
|
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: Mary McBride Smith | Statement: [John Ford, spouse, Mary McBride Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary McBride Smith Context triple: [John Ford, spouse, Mary McBride Smith]
-
A.
Mary McBride Smith
chosen
Mary McBride Smith was the wife of renowned American film director John Ford.
-
B.
Elouise Sidwell
Elouise Sidwell was the wife of American composer and television theme music writer Earle Hagen.
-
C.
Marion Brown
Marion Brown was an American jazz alto saxophonist and composer associated with the avant-garde and free jazz movements of the 1960s and beyond.
-
D.
Evelyn Williams McKissick
Evelyn Williams McKissick was the wife of prominent civil rights leader Floyd McKissick and a supportive figure in his legal and activist career.
-
E.
Willa Brown
Willa Brown was a pioneering African American aviator, flight instructor, and civil rights advocate who became the first Black woman in the United States to earn both a pilot’s license and a commercial pilot’s license.
- 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352669f608190b3aa7030d8073e04 |
completed | March 12, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde04d4bbc8190891aecc8244b566c |
completed | March 21, 2026, 12:03 a.m. |
Created at: March 12, 2026, 11:19 p.m.