Triple
T34110595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Harry North Dalrymple Prendergast |
E874828
|
entity |
| Predicate | hasMilitaryDistinction |
P74194
|
FINISHED |
| Object | Victoria Cross |
—
|
NE NERFINISHED |
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: Victoria Cross | Statement: [Sir Harry North Dalrymple Prendergast, hasMilitaryDistinction, Victoria Cross]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMilitaryDistinction Context triple: [Sir Harry North Dalrymple Prendergast, hasMilitaryDistinction, Victoria Cross]
-
A.
hadMilitaryFollowing
Indicates that an entity was supported or backed by a group of military personnel or forces.
-
B.
isMilitaryAwardFor
chosen
Indicates that something is a military honor or decoration given in recognition of a specific action, service, or achievement.
-
C.
battleHonors
Indicates that an entity has been awarded or is associated with specific honors or distinctions earned through participation in battles or military engagements.
-
D.
hadMilitaryPost
Indicates that an entity held an official position or assignment within a military organization.
-
E.
hasMilitaryStatus
Indicates that an entity possesses a specific military affiliation, role, or status (such as active duty, reserve, or veteran).
- 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 1, 2026, 1:53 a.m.