Triple
T8002333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggie Gyllenhaal |
E186279
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Naomi Foner |
E534024
|
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: Naomi Foner | Statement: [Maggie Gyllenhaal, mother, Naomi Foner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naomi Foner Context triple: [Maggie Gyllenhaal, mother, Naomi Foner]
-
A.
Naomi Foner
chosen
Naomi Foner is an American screenwriter and film producer best known for writing the acclaimed drama "Running on Empty" and for being the mother of actors Maggie and Jake Gyllenhaal.
-
B.
Barbara Franklin
Barbara Franklin is an American business executive and former U.S. Secretary of Commerce known for advancing women’s roles in government and corporate leadership.
-
C.
Kathleen Buhle
Kathleen Buhle is an American nonprofit executive and author best known as the ex-wife of Hunter Biden and for her memoir detailing their marriage and divorce.
-
D.
Kathleen Middlekauff
Kathleen Middlekauff is an American academic and former spouse of investigative journalist and author Bob Woodward.
-
E.
Margaret Pomeranz
Margaret Pomeranz is an Australian film critic and television presenter best known for co-hosting long-running movie review programs such as "The Movie Show" and "At the Movies."
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf2918081909ee0afab11caed63 |
completed | March 31, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe11aefc88190bcf614e936455927 |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 5:18 p.m.