Triple
T3422302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clark Gable |
E72140
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Josephine Dillon |
E92524
|
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: Josephine Dillon | Statement: [Clark Gable, spouse, Josephine Dillon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josephine Dillon Context triple: [Clark Gable, spouse, Josephine Dillon]
-
A.
Josephine Dillon
chosen
Josephine Dillon was an American acting coach and the first wife of film star Clark Gable, known for helping develop his early career in Hollywood.
-
B.
Leonora O’Reilly
Leonora O’Reilly was an American labor organizer and suffragist who became a prominent figure in the early 20th-century women’s rights and labor movements.
-
C.
Mary Cleary
Mary Cleary was the wife of Commodore John Barry, an early U.S. naval officer often called the "Father of the American Navy."
-
D.
Mary Clare
Mary Clare was a British stage and film actress known for her character roles in early 20th-century cinema and theatre.
-
E.
Mary McGrath
Mary McGrath is a private individual best known for her past marriage to British author Neil Gaiman.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb95223e081908b2954769d2f46c8 |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35472881c8190baf90b91daa924ec |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.