Triple
T13780386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seagram Company Ltd. |
E331115
|
entity |
| Predicate | diversifiedInto |
P14738
|
FINISHED |
| Object | film production |
—
|
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 production | Statement: [Seagram Company Ltd., diversifiedInto, film production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diversifiedInto Context triple: [Seagram Company Ltd., diversifiedInto, film production]
-
A.
diversifiedIn
chosen
Indicates that an entity has expanded its involvement, investments, or activities across multiple different areas, sectors, or asset types.
-
B.
sawDiversificationOf
Indicates that the subject experienced or witnessed a process in which something became more varied, diverse, or differentiated over time.
-
C.
isNonDiversified
Indicates that an entity’s resources, investments, or activities are concentrated in a limited set of areas rather than being spread across a diverse range.
-
D.
varietyOf
Indicates that one entity is a specific type, kind, or variant of another, more general entity.
-
E.
dividedIn
Indicates that one entity is partitioned or separated into multiple distinct parts, sections, or groups represented by another entity.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02460a688190a27874f8d35819c7 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe97846c819093b00ea117b64e0d |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:11 p.m.