Triple
T13551479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Hobby-Horse |
E323655
|
entity |
| Predicate | associatedWithFestivalSection |
P44901
|
FINISHED |
| Object | documentary section |
—
|
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: documentary section | Statement: [Silver Hobby-Horse, associatedWithFestivalSection, documentary section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithFestivalSection Context triple: [Silver Hobby-Horse, associatedWithFestivalSection, documentary section]
-
A.
associatedFilmFestivalSection
chosen
Indicates the specific film festival section or program in which a work is included or with which it is formally linked.
-
B.
linkedFestival
Indicates that two entities are associated through a common festival, event, or celebration.
-
C.
associatedWithTribeFestival
Indicates a relationship where an entity is connected or linked to a specific tribe’s festival, such as by participation, organization, or relevance.
-
D.
relationToMainFestival
Indicates how a given event, activity, or element is connected or related to the main festival.
-
E.
associatedWithSection
Indicates that one entity is linked or connected to a particular section within a larger structure or context.
- 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_69d8076830b48190910a902bae5888e2 |
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_69dbae13bec4819084c1770638c00ed9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:46 p.m.