Triple
T5712652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gooba |
E125944
|
entity |
| Predicate | hasPublicReception |
P15291
|
FINISHED |
| Object | polarizing |
—
|
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: polarizing | Statement: [Gooba, hasPublicReception, polarizing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicReception Context triple: [Gooba, hasPublicReception, polarizing]
-
A.
hasReception
Indicates that an entity hosts, includes, or is associated with a reception event (such as a formal gathering or welcoming function).
-
B.
hasAudienceReception
chosen
Indicates the relationship between a work or event and how it is received, perceived, or evaluated by its audience.
-
C.
hasPublicEventsIn
Indicates that an entity organizes or holds public events within a specified location or context.
-
D.
isPublicEvent
Indicates that an event is open and accessible to the general public rather than restricted to a private or limited audience.
-
E.
hasPublicCeremony
Indicates that a public ceremony is held or conducted in relation to the subject 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c47f4c81909e6849c3be3e951c |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:46 p.m.