Triple
T10456136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milos Forman |
E246554
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Forman |
E246554
|
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: Forman | Statement: [Milos Forman, hasSurname, Forman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forman Context triple: [Milos Forman, hasSurname, Forman]
-
A.
Forman
chosen
Forman is a surname of English origin borne by various notable individuals across fields such as politics, arts, and academia.
-
B.
Ficker
Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
-
C.
Folmar
Folmar is a masculine given name of Scandinavian origin, most notably borne by the Danish-American film editor Folmar Blangsted.
-
D.
Vormsi
Vormsi is a sparsely populated Estonian island in the Baltic Sea known for its coastal landscapes, former Swedish-speaking community, and tranquil rural character.
-
E.
Faydi
Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe48d15c8190bae0d4859e6cda5d |
completed | April 7, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87f10b45c81908f1d3128c65750f8 |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:18 p.m.