Triple
T29979423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abui language |
E761539
|
entity |
| Predicate | hasMajorResearcher |
P14810
|
FINISHED |
| Object | Marian Klamer |
—
|
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: Marian Klamer | Statement: [Abui language, hasMajorResearcher, Marian Klamer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorResearcher Context triple: [Abui language, hasMajorResearcher, Marian Klamer]
-
A.
hasResearcher
Indicates that an entity is associated with or linked to a specific researcher responsible for work, study, or investigation related to it.
-
B.
hasKeyResearcher
chosen
Indicates that an entity is associated with a primary or leading researcher responsible for key research activities related to it.
-
C.
hasScientificRole
Indicates that an entity holds or performs a specific scientific position, function, or responsibility in relation to another entity or context.
-
D.
hasResearchComponent
Indicates that an entity includes, involves, or is associated with a research-related component or activity.
-
E.
hasResearcherType
Indicates that an entity is associated with a researcher characterized by a specific type or category of research role.
- F. None of above.
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_69f2246851148190b8e76206db94b105 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69ff7c96e6dc8190b89554480ebcea39 |
completed | May 9, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69ff7c2381748190ad9a2176e0e478cd |
completed | May 9, 2026, 6:25 p.m. |
Created at: April 29, 2026, 6:34 p.m.