Triple
T18738296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Becky Leeman |
E458223
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Gladys Leeman |
—
|
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: Gladys Leeman | Statement: [Becky Leeman, hasRelative, Gladys Leeman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gladys Leeman Context triple: [Becky Leeman, hasRelative, Gladys Leeman]
-
A.
Gladys Leeman
chosen
Gladys Leeman is the fiercely ambitious, manipulative former beauty queen and pageant organizer in the dark comedy film "Drop Dead Gorgeous."
-
B.
Mildred Gilmer
Mildred Gilmer was the wife of early 19th-century American statesman and U.S. Attorney General William Wirt.
-
C.
Gladys Cooper
Gladys Cooper was a distinguished English stage and film actress known for her poised, often austere character roles in classic Hollywood and British cinema.
-
D.
Gladys McConnell
Gladys McConnell was an American film actress of the silent and early sound era, known for her roles in Westerns and adventure serials.
-
E.
Gladys Joyce Walsh
Gladys Joyce Walsh was the wife of American film and television actor Grant Withers.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768b80ac8190bc05628d64f86fc9 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.