Triple
T2758233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Tobolowsky |
E61156
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ann Hearn |
E267169
|
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: Ann Hearn | Statement: [Stephen Tobolowsky, spouse, Ann Hearn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ann Hearn Context triple: [Stephen Tobolowsky, spouse, Ann Hearn]
-
A.
Ann Hearn
chosen
Ann Hearn is an American actress known for her supporting roles in film and television, including an appearance in the legal drama "The Accused."
-
B.
Ann Hines
Ann Hines is known as the spouse of Lonnie Lynn, the late American basketball player and poet who was also the father of rapper and actor Common.
-
C.
Ann Donahue
Ann Donahue is an American television writer and producer best known as a co-creator and longtime showrunner of the CSI franchise.
-
D.
Maureen Earl
Maureen Earl is best known as the wife of American novelist Clifford Irving, who gained notoriety for his fraudulent "autobiography" of Howard Hughes.
-
E.
Lisa McDowell
Lisa McDowell is the intelligent, independent love interest of Prince Akeem in the 1988 comedy film "Coming to America," known for challenging social expectations and valuing character over wealth.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb8ba4688190b401b6eb5b734ac6 |
completed | March 7, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f501e588190b666141f7e5ed6ae |
completed | March 20, 2026, 5:09 p.m. |
Created at: March 6, 2026, 9:57 p.m.