Triple
T21088176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fulkerson Prize |
E519557
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object | Éva Tardos |
—
|
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: Éva Tardos | Statement: [Fulkerson Prize, notableRecipient, Éva Tardos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Éva Tardos Context triple: [Fulkerson Prize, notableRecipient, Éva Tardos]
-
A.
Éva Tardos
chosen
Éva Tardos is a prominent Hungarian-American computer scientist known for her influential work in algorithms, combinatorial optimization, and algorithmic game theory.
-
B.
Gábor Tardos
Gábor Tardos is a Hungarian mathematician and computer scientist known for his contributions to combinatorics and theoretical computer science.
-
C.
Vijay Vazirani
Vijay Vazirani is an Indian-American theoretical computer scientist known for his influential work in algorithms, computational complexity, and approximation algorithms.
-
D.
László Lovász
László Lovász is a Hungarian mathematician renowned for his fundamental contributions to combinatorics, graph theory, and theoretical computer science, including work on the Lovász Local Lemma and the proof of the weak perfect graph conjecture.
-
E.
Eli Upfal
Eli Upfal is a computer scientist known for his contributions to randomized algorithms, probabilistic analysis, and theoretical computer science.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094cebe08190bb10f51a45c244ec |
completed | April 21, 2026, 5:21 a.m. |
Created at: April 16, 2026, 2:50 p.m.