Triple
T26729669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actress for The Last Picture Show |
E673931
|
entity |
| Predicate | stateOfCeremony |
P177296
|
FINISHED |
| Object | California |
—
|
NE NERFINISHED |
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: California | Statement: [Academy Award for Best Actress for The Last Picture Show, stateOfCeremony, California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateOfCeremony Context triple: [Academy Award for Best Actress for The Last Picture Show, stateOfCeremony, California]
-
A.
ceremonyState
Indicates the current status or phase of a ceremony within its overall lifecycle.
-
B.
ceremonialStatus
Indicates the formal or symbolic standing an entity holds within a ritual, tradition, or official ceremony.
-
C.
ceremonialRole
Indicates that an entity holds a formal, often symbolic or honorific, position or function within a ceremony or ritual context.
-
D.
ceremonyKnownAs
Indicates that a particular ceremony is referred to or recognized by a specific name or title.
-
E.
ceremonialRoleInvolves
Indicates that a ceremonial role includes or entails performing a particular action, duty, or function as part of that ceremony.
- 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_69eecda57ab481909424e98f2835e7d8 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: April 27, 2026, 3:44 a.m.