Triple
T21958587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Leibowitz |
E542260
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Leibowitz |
—
|
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: Leibowitz | Statement: [Rachel Leibowitz, hasSurname, Leibowitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leibowitz Context triple: [Rachel Leibowitz, hasSurname, Leibowitz]
-
A.
Leibowitz
chosen
Leibowitz is the birth surname of American comedian and former "The Daily Show" host Jon Stewart.
-
B.
Kornbluth
Kornbluth is a surname most notably associated with American science fiction writer Cyril M. Kornbluth.
-
C.
Munitz
Munitz is a surname most notably associated with Barry Munitz, an American educator and former university and foundation executive.
-
D.
Levshitz
Levshitz is an alternative transliteration of the Russian surname Lifshitz, commonly associated with several notable scientists and intellectuals.
-
E.
Gelbard
Gelbard is the petitioner in the U.S. Supreme Court case Gelbard v. United States, which addressed issues related to grand jury proceedings and the use of illegally obtained evidence.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1244204f081909742d4fe138610d6 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 8 p.m.