Triple
T9361758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Einhorn |
E225293
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Ida Einhorn |
E225293
|
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: Ida Einhorn | Statement: [David Einhorn, child, Ida Einhorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ida Einhorn Context triple: [David Einhorn, child, Ida Einhorn]
-
A.
Ida Einhorn
chosen
Ida Einhorn is known primarily as the daughter of American hedge fund manager and Greenlight Capital founder David Einhorn.
-
B.
Ida Rohatyn
Ida Rohatyn is an actress known for her role in the romantic comedy film "Maggie’s Plan."
-
C.
Ida Rifkin
Ida Rifkin is the wife of American actor Ron Rifkin, known for his work in film, television, and theater.
-
D.
Ruth Schiff
Ruth Schiff is a notable individual who shares the surname Schiff, recognized enough to be specifically cited as a bearer of the name.
-
E.
Fannie Cohn
Fannie Cohn was a prominent labor organizer and leader in the American garment industry, known for her influential role in advancing workers’ rights through the International Ladies' Garment Workers' Union.
- 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd503ca7308190818f27f1faf94a53 |
completed | April 1, 2026, 5:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100d000a081909964736e8a7418ba |
completed | April 4, 2026, 12:15 p.m. |
Created at: March 30, 2026, 7:42 p.m.