Triple
T19962785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Seymour |
E479856
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | David Szymin |
—
|
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: David Szymin | Statement: [David Seymour, alsoKnownAs, David Szymin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Szymin Context triple: [David Seymour, alsoKnownAs, David Szymin]
-
A.
Peter Serafinowicz
Peter Serafinowicz is a British actor, comedian, and writer known for his distinctive voice work and roles in film and television, including the live-action superhero series "The Tick."
-
B.
Dawid Szymin
chosen
Dawid Szymin, better known as David Seymour, was a renowned Polish-born photojournalist and co-founder of the Magnum Photos agency.
-
C.
David Warsofsky
David Warsofsky is an American professional ice hockey defenseman who has played in the NHL and various international leagues.
-
D.
Robert Alexander Szatkowski
Robert Alexander Szatkowski is an American professional wrestler and actor best known by his ring name Rob Van Dam, celebrated for his high-flying style and success in major promotions like ECW and WWE.
-
E.
Arthur Szlam
Arthur Szlam is a researcher in machine learning and applied mathematics known for his work on deep learning, graph-based methods, and harmonic analysis.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af51b4c81909ba156a489cbc551 |
completed | April 20, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:54 p.m.