Triple
T36420451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Cross to Guy Gibson |
E897138
|
entity |
| Predicate | typeOfValour |
P27803
|
FINISHED |
| Object | conspicuous bravery |
—
|
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: conspicuous bravery | Statement: [Victoria Cross to Guy Gibson, typeOfValour, conspicuous bravery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfValour Context triple: [Victoria Cross to Guy Gibson, typeOfValour, conspicuous bravery]
-
A.
typeOfCharacter
Indicates that one entity is a specific kind or category of character in relation to another entity.
-
B.
typeOfBravery
chosen
Indicates a specific kind or category of bravery that characterizes an entity’s courageous behavior or action.
-
C.
typeOfValue
Indicates that one entity specifies the kind or category of value associated with another entity.
-
D.
valuedBy
Indicates that one entity is regarded as important, useful, or held in high esteem by another entity.
-
E.
typeOfRole
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
- 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_69f76e559b10819099d6655a6e14587c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0302d9d2d88190b20429530775b035 |
completed | May 12, 2026, 10:37 a.m. |
| PD | Predicate disambiguation | batch_6a0302289128819085428f3d544c2fb9 |
completed | May 12, 2026, 10:34 a.m. |
Created at: May 3, 2026, 4:10 p.m.