Triple
T13024033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Randolph, Earl of Moray |
E326252
|
entity |
| Predicate | loyaltyShift |
P91356
|
FINISHED |
| Object | initially served Edward I of England before joining Robert the Bruce |
—
|
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: initially served Edward I of England before joining Robert the Bruce | Statement: [Thomas Randolph, Earl of Moray, loyaltyShift, initially served Edward I of England before joining Robert the Bruce]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loyaltyShift Context triple: [Thomas Randolph, Earl of Moray, loyaltyShift, initially served Edward I of England before joining Robert the Bruce]
-
A.
loyaltyChange
chosen
Indicates a change in the degree or direction of loyalty from one entity toward another over time.
-
B.
loyaltyDimension
Indicates the degree or aspect of loyalty characterizing the relationship between entities.
-
C.
loyaltyIncentive
Indicates a relationship where benefits or rewards are provided to encourage or recognize continued commitment or repeat engagement.
-
D.
loyaltySymbolizedBy
Indicates that an instance of loyalty is represented or expressed by a particular symbol or emblem.
-
E.
isLoyalTo
Indicates that one entity consistently supports, respects, or remains faithful to another entity.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efac71881908a21d70c3c6ce099 |
completed | April 10, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:52 p.m.