Triple
T18424991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Behaim |
E442114
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Behaim |
—
|
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: Behaim | Statement: [Martin Behaim, familyName, Behaim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Behaim Context triple: [Martin Behaim, familyName, Behaim]
-
A.
Behaim
chosen
Behaim is a German surname most notably associated with Martin Behaim, a 15th-century cartographer credited with creating one of the earliest surviving terrestrial globes.
-
B.
Dasman
Dasman is a coastal district in Kuwait City known for its historic palace and strategic location along the Persian Gulf.
-
C.
El Hajeb
El Hajeb is a town and provincial capital in northern Morocco, situated in the Fès-Meknès region.
-
D.
Behmenburg
Behmenburg is the birth surname of Dutch-born American supermodel and influential 1960s–70s modeling agency founder Wilhelmina Cooper.
-
E.
Bahen
Bahen is an honorific title used in parts of South Asia to respectfully address a woman, roughly equivalent to “sister.”
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51b1149788190ad7c453547a6e07c |
completed | April 19, 2026, 6:12 p.m. |
Created at: April 10, 2026, 10:47 a.m.