Triple
T14017362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolls-Royce Falcon |
E337236
|
entity |
| Predicate | nameTheme |
P112478
|
FINISHED |
| Object | bird of prey naming used by Rolls-Royce |
—
|
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: bird of prey naming used by Rolls-Royce | Statement: [Rolls-Royce Falcon, nameTheme, bird of prey naming used by Rolls-Royce]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameTheme Context triple: [Rolls-Royce Falcon, nameTheme, bird of prey naming used by Rolls-Royce]
-
A.
titleTheme
Indicates that a work’s title reflects, expresses, or is thematically centered on a particular theme.
-
B.
themeInspiration
Indicates that one entity serves as the creative source or conceptual basis that inspires or shapes the theme expressed in another entity.
-
C.
hasNicknameTheme
Indicates that an entity’s nickname is based on or associated with a particular theme or motif.
-
D.
nameOf
Indicates that one entity is the name or designation of another entity.
-
E.
PoseThemes
Indicates that a particular pose expresses, embodies, or is associated with certain thematic ideas or concepts.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3b5b088190a58715779d2c46a6 |
completed | April 14, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69de05a802ac819090604025aae6a4d5 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:19 p.m.