Triple
T5602139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeke |
E147143
|
entity |
| Predicate | codeNameCategory |
P65002
|
FINISHED |
| Object | male given name for fighter aircraft |
—
|
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: male given name for fighter aircraft | Statement: [Zeke, codeNameCategory, male given name for fighter aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeNameCategory Context triple: [Zeke, codeNameCategory, male given name for fighter aircraft]
-
A.
codenameUser
Indicates that a user is assigned or associated with a particular codename.
-
B.
usesCodeName
Indicates that one entity refers to another entity by a code name or alias instead of its real or full designation.
-
C.
canonicalCategory
Indicates that an entity is assigned to its primary or standard category within a classification system.
-
D.
classificationSystemName
Indicates the name or label assigned to a particular classification system used to categorize or organize entities.
-
E.
endUseAsCodename
Indicates that an entity stops being used as a codename for another entity or concept.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020dbd6dc8190ba011876c205754e |
completed | March 22, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69c01b1890ec8190b9e6fa488792e4d4 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:39 p.m.