Triple
T8870482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Sothern |
E211140
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sara Sothern |
E211140
|
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 Sothern | Statement: [Sara Sothern, name, Sara Sothern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Sothern Context triple: [Sara Sothern, name, Sara Sothern]
-
A.
Sara Sothern
chosen
Sara Sothern was an American stage actress and the mother of film star Elizabeth Taylor.
-
B.
Dina Merrill
Dina Merrill was an American actress, heiress, and philanthropist known for her elegant screen presence in mid-20th-century Hollywood films and television.
-
C.
Phyllis Thaxter
Phyllis Thaxter was an American film, television, and stage actress best known for her roles in mid-20th-century Hollywood dramas and for playing Martha Kent in the 1978 film "Superman."
-
D.
Vera Miles
Vera Miles is an American actress best known for her roles in classic Alfred Hitchcock films, including "Psycho" and "The Wrong Man."
-
E.
Eileen Heckart
Eileen Heckart was an American character actress known for her versatile work on stage, film, and television, including an Academy Award–winning performance in "Butterflies Are Free."
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6126d2f88190979ab25772ee657c |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffd78f35881909c15249b58a1ce03 |
completed | April 3, 2026, 5:48 p.m. |
Created at: March 30, 2026, 6:51 p.m.