Triple
T4177732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conservation International |
E86516
|
entity |
| Predicate | roleOfPeter Seligmann |
P54239
|
FINISHED |
| Object | Founder and former CEO |
—
|
LITERAL 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: Founder and former CEO | Statement: [Conservation International, roleOfPeter Seligmann, Founder and former CEO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfPeter Seligmann Context triple: [Conservation International, roleOfPeter Seligmann, Founder and former CEO]
-
A.
roleOfGregPeters
Indicates that the specified role or position is held by Greg Peters.
-
B.
Perlmutter
Indicates a relationship or action associated with the name "Perlmutter," such as authorship, attribution, or involvement, depending on the specific ontology or dataset in which it appears.
-
C.
alsoServedAs
Indicates that an entity held an additional role or position beyond the primary one already mentioned.
-
D.
founderKnownFor
Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
-
E.
roleOfSeth
Indicates that one entity serves as the role, function, or character associated with Seth in a given context.
- F. None of above. chosen
Provenance (4 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af07078cb081909f64326b12522410 |
completed | March 9, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69af019155448190b19868583272513f |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af07059d288190a1ea79449414fbce |
completed | March 9, 2026, 5:44 p.m. |
Created at: March 9, 2026, 3:45 p.m.