Triple
T38552724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richthofen’s Flying Circus |
E925154
|
entity |
| Predicate | usedCamouflageStyle |
P113134
|
FINISHED |
| Object | individual pilot color schemes |
—
|
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: individual pilot color schemes | Statement: [Richthofen’s Flying Circus, usedCamouflageStyle, individual pilot color schemes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedCamouflageStyle Context triple: [Richthofen’s Flying Circus, usedCamouflageStyle, individual pilot color schemes]
-
A.
camouflageStyle
chosen
Indicates the type or pattern of camouflage used to visually conceal or disguise an entity in its environment.
-
B.
canCamouflage
Indicates that an entity has the ability to blend into its surroundings or alter its appearance to avoid detection.
-
C.
usesCostumeStyle
Indicates that one entity employs or incorporates the costume style associated with another entity.
-
D.
usesMasksOrDisguises
Indicates that an entity employs masks, costumes, or other forms of disguise to conceal or alter its identity in the context of an action or interaction.
-
E.
camouflagePattern
Indicates that one entity has a surface or visual design intended to conceal it by blending with its surroundings or disrupting its outline.
- 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_69f76eaeb69c8190b367df9330d6f6af |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd318ae38819092ebab2d75be2194 |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f81cbc8190b4fd3bfc3106c1f3 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.