Triple
T19867628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TCM Classic Film Festival |
E477429
|
entity |
| Predicate | hasRedCarpet |
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: [TCM Classic Film Festival, hasRedCarpet, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRedCarpet Context triple: [TCM Classic Film Festival, hasRedCarpet, yes]
-
A.
hasRedCarpetEvent
chosen
Indicates that an entity hosts, organizes, or is associated with an event featuring a formal red-carpet arrival or ceremony.
-
B.
hasRedRuns
Indicates that an entity possesses or exhibits red-colored streaks, lines, or flowing marks.
-
C.
hasAwardShow
Indicates that an entity organizes, hosts, or is associated with a specific award show or ceremony.
-
D.
hasWalkedRunwayFor
Indicates that one entity has modeled or appeared on the fashion runway in a show organized by another entity.
-
E.
hasFashionShow
Indicates that an entity organizes, hosts, or features a fashion show as an event or activity.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658a0a7288190a82b85e3ae056d6b |
completed | April 20, 2026, 4:47 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.