Triple
T11016061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amir Pnueli |
E260368
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pnueli |
E260368
|
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: Pnueli | Statement: [Amir Pnueli, familyName, Pnueli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pnueli Context triple: [Amir Pnueli, familyName, Pnueli]
-
A.
Amir Pnueli
chosen
Amir Pnueli was an Israeli computer scientist renowned for introducing temporal logic to computer science and for his pioneering work in formal verification, for which he received the Turing Award.
-
B.
Dana Scott
Dana Scott is an American logician and mathematician renowned for his foundational work in domain theory, model theory, and the semantics of programming languages, for which he received the Turing Award.
-
C.
Thomas A. Henzinger
Thomas A. Henzinger is a prominent computer scientist known for his foundational work in formal verification, hybrid systems, and the theory of real-time and embedded systems.
-
D.
Moshe Y. Vardi
Moshe Y. Vardi is a prominent computer scientist known for his influential work in logic in computer science, database theory, and automated verification.
-
E.
Gerard J. Holzmann
Gerard J. Holzmann is a computer scientist best known for creating the SPIN model checker and for his influential work in formal verification and software reliability.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a558a08190bdb5779faa9adf05 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a98725808190903639866a3e745f |
completed | April 18, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:25 p.m.