Triple
T13609879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joey Tribbiani |
E325159
|
entity |
| Predicate | professionallyKnownFor |
P15030
|
FINISHED |
| Object | role of Dr. Drake Ramoray |
—
|
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: role of Dr. Drake Ramoray | Statement: [Joey Tribbiani, professionallyKnownFor, role of Dr. Drake Ramoray]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionallyKnownFor Context triple: [Joey Tribbiani, professionallyKnownFor, role of Dr. Drake Ramoray]
-
A.
formerlyKnownFor
Indicates that an entity was previously recognized or notable for a particular role, attribute, or activity, but is no longer primarily associated with it.
-
B.
alsoKnownFor
chosen
Indicates that an entity is additionally recognized or noted for another work, role, achievement, or characteristic beyond its primary association.
-
C.
creatorKnownFor
Indicates that a creator is especially recognized or notable for a particular work, contribution, or achievement.
-
D.
laterKnownFor
Indicates that an entity became recognized or notable for something at a later time than the context or event currently being referred to.
-
E.
typeOfWorkHeIsKnownFor
Indicates the category or kind of work for which a person is recognized or notable.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:50 p.m.