Triple
T292937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugo van Lawick |
E6032
|
entity |
| Predicate | knownForVisualStyle |
P753
|
FINISHED |
| Object | intimate close-up wildlife footage |
—
|
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: intimate close-up wildlife footage | Statement: [Hugo van Lawick, knownForVisualStyle, intimate close-up wildlife footage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownForVisualStyle Context triple: [Hugo van Lawick, knownForVisualStyle, intimate close-up wildlife footage]
-
A.
recognizedAs
Indicates that one entity is acknowledged or accepted as having the identity, role, status, or classification of another entity.
-
B.
recognizedFor
chosen
Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with another entity.
-
C.
relatedStyle
Indicates that one style is associated with, similar to, or derived from another style in some relevant way.
-
D.
recognizedIn
Indicates that an entity is formally acknowledged, honored, or given recognition within a particular context, setting, or domain.
-
E.
usedWithStyle
Indicates that something is employed or applied in conjunction with a particular style or stylistic manner.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea0dd1dc8190aecd5afdeb2fd74b |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e934b4408190b53a17f57a02df65 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.