Triple
T1312989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Society of Film Critics Award for Best Ensemble Cast |
E28035
|
entity |
| Predicate | hasPresenterType |
P26905
|
FINISHED |
| Object | film critics organization |
—
|
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: film critics organization | Statement: [Boston Society of Film Critics Award for Best Ensemble Cast, hasPresenterType, film critics organization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPresenterType Context triple: [Boston Society of Film Critics Award for Best Ensemble Cast, hasPresenterType, film critics organization]
-
A.
hasSpeakerType
Indicates that an entity functions in a particular role or category as a speaker (e.g., narrator, character, announcer) within a given context.
-
B.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
C.
hasSpectatorType
Indicates that an event or activity is associated with a particular category or type of spectator.
-
D.
hasParType
Indicates that an entity has a specific parent type or category to which it belongs.
-
E.
hasObserverType
Indicates that an entity is associated with a particular type or category of observer that monitors, views, or records it.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1572b1c8190ab978198c2d655c8 |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4beebcb348190964bd7215811942c |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bfc2134c81909cbaaa151d96e9a8 |
completed | March 1, 2026, 10:37 p.m. |
Created at: March 1, 2026, 7:55 p.m.