Triple
T438905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Margaret |
E10070
|
entity |
| Predicate | personalityReputation |
P11701
|
FINISHED |
| Object | rebellious |
—
|
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: rebellious | Statement: [Princess Margaret, personalityReputation, rebellious]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: personalityReputation Context triple: [Princess Margaret, personalityReputation, rebellious]
-
A.
associatedWithReputation
chosen
Indicates a relationship where an entity is linked to, influenced by, or characterized in terms of another entity’s reputation or perceived standing.
-
B.
reputationWithinLDP
Indicates that an entity holds a particular reputation or standing within a specified Local Development Plan (LDP) context.
-
C.
posthumousReputation
Indicates the reputation or standing attributed to a person after their death.
-
D.
criticalReputation
Indicates that an entity is regarded by critics with a particular level or type of esteem, evaluation, or standing based on critical assessments.
-
E.
publicProfile
Indicates that an entity’s profile or identifying information is visible and accessible to the general public.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef283be881909444aaf257451747 |
completed | Feb. 28, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69a2eddcf50c8190bfa0d1f8ee9f604a |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.