Triple
T33340145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emily Eavis |
E853645
|
entity |
| Predicate | roleAtGlastonbury |
P157977
|
FINISHED |
| Object | booker of headliners |
—
|
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: booker of headliners | Statement: [Emily Eavis, roleAtGlastonbury, booker of headliners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtGlastonbury Context triple: [Emily Eavis, roleAtGlastonbury, booker of headliners]
-
A.
workRoleInRocknRolla
Indicates the specific role or function an entity has within the context of the work "RocknRolla."
-
B.
roleAtFoursquare
Indicates the specific role or position an entity holds at Foursquare.
-
C.
bookingRole
chosen
Indicates the role or capacity an entity has in relation to a booking (e.g., who made, manages, or is responsible for the booking).
-
D.
musicSceneRole
Indicates the specific function or position an entity holds within a particular music scene or musical community.
-
E.
festivalPresence
Indicates that an entity is present at, participates in, or is associated with a particular festival event.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: May 1, 2026, 1:34 a.m.