Triple
T27116876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nunsense |
E686873
|
entity |
| Predicate | numberOfPrincipalRoles |
P197385
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Nunsense, numberOfPrincipalRoles, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPrincipalRoles Context triple: [Nunsense, numberOfPrincipalRoles, 5]
-
A.
principalRoleIn
Indicates that an entity holds the primary or leading role in a particular context, activity, or relationship.
-
B.
numberOfGrandeeships
Indicates the quantity of grandeeships (noble titles or ranks of grandee status) associated with a given entity.
-
C.
numberOfActors
Indicates the total count of actors associated with a given entity or context.
-
D.
holdersPlayedRoleIn
Indicates that the holders of something (e.g., a position, title, or asset) participated in or contributed to a particular role within an event, activity, or context.
-
E.
numberOfDirectors
Indicates the total count of directors associated with a given entity.
- 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_69ef148c2b588190afc15b529f7af845 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fe8f74748c8190bd14a856c057f9f7 |
completed | May 9, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69fe8e7ed8088190929e0df67aca4de9 |
completed | May 9, 2026, 1:31 a.m. |
| PDg | Predicate description generation | batch_69fe8f730bb88190975bffd49f5e0f3b |
completed | May 9, 2026, 1:35 a.m. |
Created at: April 27, 2026, 8:57 a.m.