Triple
T18164375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Clancy |
E434850
|
entity |
| Predicate | militaryExpertiseReputation |
P24407
|
FINISHED |
| Object | known for accurate depictions of military technology and tactics |
—
|
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: known for accurate depictions of military technology and tactics | Statement: [Tom Clancy, militaryExpertiseReputation, known for accurate depictions of military technology and tactics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryExpertiseReputation Context triple: [Tom Clancy, militaryExpertiseReputation, known for accurate depictions of military technology and tactics]
-
A.
militaryReputation
chosen
Indicates the perceived standing or esteem of an entity based on its past or present military performance, conduct, or capabilities.
-
B.
hasMilitarySpeciality
Indicates that an entity possesses a specific military role, skill set, or area of professional expertise within the armed forces.
-
C.
militaryBackground
Indicates that an entity has prior or current experience, service, or training in a military organization.
-
D.
militaryRole
Indicates the specific function, position, or duty an entity holds within a military organization or context.
-
E.
militaryPerson
Indicates that the subject is a member of the armed forces or serves in a formal military capacity.
- 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.