Triple
T16927197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth Klarman |
E410605
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Klarman |
E1239794
|
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: Klarman | Statement: [Beth Klarman, familyName, Klarman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klarman Context triple: [Beth Klarman, familyName, Klarman]
-
A.
Klarman
chosen
Klarman is a surname most prominently associated with Seth Klarman, a renowned American value investor and hedge fund manager.
-
B.
Kleiman
Kleiman is a surname of Dutch origin borne by various notable individuals, including those associated with the Dutch resistance during World War II.
-
C.
Krantz
Krantz is the surname of Ricardo Cortez, an American actor prominent in early 20th-century Hollywood cinema.
-
D.
Cleary
Cleary is a surname of Irish origin commonly borne by individuals and families in English-speaking countries.
-
E.
Berkman
Berkman is a surname most prominently associated with former Major League Baseball All-Star Lance Berkman.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdf2dcd881909798bd245e18c599 |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfdb6b608190af910e225d942d37 |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:30 a.m.