Triple
T13392855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo Fuld |
E319618
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fuld |
E83304
|
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: Fuld | Statement: [Leo Fuld, familyName, Fuld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuld Context triple: [Leo Fuld, familyName, Fuld]
-
A.
Fuld
chosen
Fuld is a surname most notably associated with former Major League Baseball outfielder and current baseball executive Sam Fuld.
-
B.
Fulpmes
Fulpmes is a Tyrolean village in western Austria known for its alpine setting in the Stubai Valley and its tradition of metalworking and tourism.
-
C.
Ful Stop
"Ful Stop" is a brooding, rhythm-driven track by the English rock band Radiohead from their 2016 album *A Moon Shaped Pool*.
-
D.
Flourish
Flourish is a positive psychology book by Martin Seligman that outlines his theory of well-being and practical strategies for enhancing happiness and life satisfaction.
-
E.
Flaked
Flaked is a Netflix dramedy series co-created by and starring Will Arnett as a self-help guru in Venice, California, whose carefully constructed life begins to unravel.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d74e5881909828854bba7d9a87 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72693a440819095a3136d8f49680a |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:34 p.m.