Triple
T5128430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Pettigrew |
E115636
|
entity |
| Predicate | animagusRegistrationStatus |
P18569
|
FINISHED |
| Object | unregistered |
—
|
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: unregistered | Statement: [Peter Pettigrew, animagusRegistrationStatus, unregistered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animagusRegistrationStatus Context triple: [Peter Pettigrew, animagusRegistrationStatus, unregistered]
-
A.
companionshipStatus
Indicates the current state or condition of a relationship of companionship between two or more entities.
-
B.
nationalRegisterStatus
chosen
Indicates whether an entity is listed, eligible, or otherwise classified within an official national register or registry.
-
C.
identityStatus
Indicates the current state or condition of an entity’s identity, such as whether it is verified, active, pending, or otherwise classified.
-
D.
agencyStatus
Indicates the current operational or legal condition under which an agency or agent is functioning (e.g., active, inactive, suspended, or terminated).
-
E.
sponsorStatus
Indicates the current state or condition of an entity’s sponsorship relationship, such as whether it is active, pending, or inactive.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77aa68b88190a50dd736a72d2901 |
completed | March 20, 2026, 4:36 p.m. |
Created at: March 20, 2026, 1:42 p.m.