Triple
T5910429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Awards statuette |
E131443
|
entity |
| Predicate | originalFiveBranches |
P67645
|
FINISHED |
| Object | actors |
—
|
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: actors | Statement: [Academy Awards statuette, originalFiveBranches, actors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalFiveBranches Context triple: [Academy Awards statuette, originalFiveBranches, actors]
-
A.
branchesFrom
Indicates that one entity originates or diverges from another as a subordinate or offshoot path, structure, or lineage.
-
B.
hasFamilyBranch
Indicates that one entity is a subdivision, offshoot, or branch within the broader family group or lineage of another entity.
-
C.
branchNetwork
Indicates that one entity operates as a branch or local outlet within the wider organizational or operational network of another entity.
-
D.
centralBranch
Indicates that one entity functions as the main or primary branch within a larger organizational or structural system relative to another entity.
-
E.
branchCount
Indicates the number of branches associated with a given entity or structure.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c048fc112c8190b905bf561c9de096 |
completed | March 22, 2026, 7:54 p.m. |
| PD | Predicate disambiguation | batch_69c03352208c8190968efed05a9fd416 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c048fb02a081908e78629e1e283cd0 |
completed | March 22, 2026, 7:54 p.m. |
Created at: March 22, 2026, 3:59 p.m.