Triple
T9747719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alison Schumer |
E236356
|
entity |
| Predicate | notableRelative |
P367
|
FINISHED |
| Object | Jessica Schumer |
E231554
|
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: Jessica Schumer | Statement: [Alison Schumer, notableRelative, Jessica Schumer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessica Schumer Context triple: [Alison Schumer, notableRelative, Jessica Schumer]
-
A.
Jessica Schumer
chosen
Jessica Schumer is an American attorney and policy professional, known as the daughter of U.S. Senate Majority Leader Chuck Schumer.
-
B.
Alison Schumer
Alison Schumer is the daughter of U.S. Senate Majority Leader Chuck Schumer and is known primarily for her connection to the prominent political family.
-
C.
Arabella Rose Kushner
Arabella Rose Kushner is the daughter of Ivanka Trump and Jared Kushner, known publicly as a member of the Trump family.
-
D.
Kira Snyder
Kira Snyder is an American television and film writer known for her work on projects such as Pacific Rim: Uprising and the acclaimed series The Handmaid’s Tale.
-
E.
Nina Axelrod
Nina Axelrod is an American actress and casting director known for her roles in 1980s and early 1990s genre films and television.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f677830819096d388b9c798ecd5 |
completed | April 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc4321cc8190a5197d87ebfe38fb |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:23 p.m.