Triple
T33700567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvia |
E863443
|
entity |
| Predicate | relationshipToMilitaryTheme |
P206633
|
FINISHED |
| Object | romantically involved with an army recruiting officer |
—
|
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: romantically involved with an army recruiting officer | Statement: [Sylvia, relationshipToMilitaryTheme, romantically involved with an army recruiting officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToMilitaryTheme Context triple: [Sylvia, relationshipToMilitaryTheme, romantically involved with an army recruiting officer]
-
A.
hasMilitaryTheme
Indicates that something incorporates or is characterized by elements related to the military, such as soldiers, warfare, equipment, or military settings.
-
B.
militarySupportTheme
Indicates that one entity provides, requests, or is associated with military assistance, backing, or involvement in relation to another entity or situation.
-
C.
relatedMilitaryPlan
Indicates a relationship where one entity is associated with, derived from, or connected to a specific military plan or operation.
-
D.
associatedWithMilitaryHistory
Indicates a relationship in which something is connected or relevant to military history, such as events, figures, institutions, or artifacts.
-
E.
hasMilitaryAssociation
Indicates a relationship in which an entity is connected or affiliated with a military organization, activity, or function.
- 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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037e07fe4481909ca21eae7a941ee7 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:43 a.m.