Triple
T17761067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogden Morrow |
E443373
|
entity |
| Predicate | relationshipToOASIS |
P128242
|
FINISHED |
| Object | co-founder |
—
|
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: co-founder | Statement: [Ogden Morrow, relationshipToOASIS, co-founder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToOASIS Context triple: [Ogden Morrow, relationshipToOASIS, co-founder]
-
A.
relationshipToState
Indicates a relationship or connection that an entity has with a particular state or governmental body.
-
B.
relationshipToIOC
Indicates the type of formal connection or association an entity has with the International Olympic Committee (IOC), such as recognition, membership, or oversight.
-
C.
referralRelationship
Indicates a relationship in which one entity directs or recommends another entity to a third party for services, information, or further action.
-
D.
associationWithHumans
Indicates a general relationship, connection, or involvement between an entity and one or more humans.
-
E.
relationshipToARP
Indicates a specified type of relationship or association that an entity has to an ARP (which may represent a particular person, program, plan, or reference point).
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485f7a8e08190a4a6b8368b70c381 |
completed | April 19, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69e3cde9dc288190af0e2198487f2051 |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3cfab7edc8190b663282d565a0389 |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 10:11 a.m.