Triple
T27599386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TEDx |
E699993
|
entity |
| Predicate | relationToTED |
P34778
|
FINISHED |
| Object | operates under TED license |
—
|
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: operates under TED license | Statement: [TEDx, relationToTED, operates under TED license]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToTED Context triple: [TEDx, relationToTED, operates under TED license]
-
A.
relationshipToSpeaker
Indicates that one entity stands in a specific familial, social, or interpersonal relation to the speaker.
-
B.
termRelationTo
chosen
Indicates a general relational association between one term and another, without specifying the exact nature of that relationship.
-
C.
relationshipToKlaatu
Indicates the specific familial, social, or professional relationship that one entity has to the entity named Klaatu.
-
D.
relationToStephenI
Indicates a familial or social relationship that an entity has specifically with Stephen I.
-
E.
relationshipToEdd
Indicates the specific type of relationship or connection that an entity has to Edd.
- 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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 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 27, 2026, 2:07 p.m.