Triple
T36702374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Random Records of My Own Flying and of Women in Aviation |
E906263
|
entity |
| Predicate | highlightsRoleOf |
P117092
|
FINISHED |
| Object | women pilots |
—
|
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: women pilots | Statement: [Random Records of My Own Flying and of Women in Aviation, highlightsRoleOf, women pilots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highlightsRoleOf Context triple: [Random Records of My Own Flying and of Women in Aviation, highlightsRoleOf, women pilots]
-
A.
highlightsRole
chosen
Indicates that one entity emphasizes, showcases, or draws special attention to the role or function of another entity.
-
B.
highlights
Indicates that one entity draws special attention to, emphasizes, or visually marks another entity as important or noteworthy.
-
C.
highlightsSign
Indicates that one entity visually emphasizes or draws special attention to a sign.
-
D.
highlightsType
Indicates that one entity serves as a representative example or instance of the type or category defined by another entity.
-
E.
socialRoleEmphasis
Indicates an emphasis on or prioritization of a particular social role within a relationship or interaction.
- 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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c7ee28c88190ad3f7adabd4650fc |
completed | May 3, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.