Triple
T3777240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People's Choice Awards |
E83335
|
entity |
| Predicate | hasRedCarpetEvent |
P50870
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [People's Choice Awards, hasRedCarpetEvent, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRedCarpetEvent Context triple: [People's Choice Awards, hasRedCarpetEvent, yes]
-
A.
hasAwardShow
Indicates that an entity organizes, hosts, or is associated with a specific award show or ceremony.
-
B.
hasFanPerformances
Indicates that an entity has associated performances created or carried out by fans.
-
C.
participatedInEvent
Indicates that an entity took part in or was actively involved in a specific event.
-
D.
hasTransportationEvent
Indicates that an entity is involved in or associated with a specific transportation-related occurrence, such as a trip, transfer, or movement event.
-
E.
hasFestival
Indicates that a location, community, or entity hosts or holds a festival or celebratory event.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc5d3dbc8190b6ab118a56acd5a3 |
completed | March 8, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69adc050cc5c81909d9855f866f3c26d |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc0fe3e3c8190bd886c7745c172a0 |
completed | March 8, 2026, 6:33 p.m. |
Created at: March 8, 2026, 3:36 p.m.