Triple
T17625110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gina Gershon |
E429819
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Dan Gershon |
—
|
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: Dan Gershon | Statement: [Gina Gershon, sibling, Dan Gershon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Gershon Context triple: [Gina Gershon, sibling, Dan Gershon]
-
A.
Dan Gershon
chosen
Dan Gershon is known as the brother of American actress Gina Gershon.
-
B.
David Gans
David Gans was a 16th-century Jewish mathematician, astronomer, and historian from Prague, known for his works on Jewish history and for collaborating with leading astronomers of his time.
-
C.
Rob Golenberg
Rob Golenberg is a television producer and executive known for his work on high-profile drama series, including serving as an executive producer on "Your Honor."
-
D.
David Gerson
David Gerson is a film producer known for his work on the action-comedy movie "Skiptrace."
-
E.
Len Goldstein
Len Goldstein is a television producer known for his executive production work on series such as "The Astronaut Wives Club."
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbc62e88190b9757dc7c52d7fee |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 5:52 a.m.