Triple
T18164356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Clancy |
E434850
|
entity |
| Predicate | militaryTheme |
P105554
|
FINISHED |
| Object | Cold War naval warfare |
—
|
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: Cold War naval warfare | Statement: [Tom Clancy, militaryTheme, Cold War naval warfare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryTheme Context triple: [Tom Clancy, militaryTheme, Cold War naval warfare]
-
A.
militarySupportTheme
Indicates that one entity provides, requests, or is associated with military assistance, backing, or involvement in relation to another entity or situation.
-
B.
militaryTheater
Indicates that an entity is a geographic or operational area where military operations or campaigns are conducted.
-
C.
militaryDomain
Indicates that the relationship or action occurs within, pertains to, or is specifically associated with the military sphere or context.
-
D.
militaryHistoryTopic
chosen
Indicates that there exists a relationship where the subject is a topic, theme, or subject matter specifically concerned with military history.
-
E.
countryMilitary
Indicates that a country possesses, controls, or is associated with a particular military force or armed organization.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec55a088190868ee0b0a310fefb |
completed | April 19, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:30 a.m.