Triple
T7608744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buzz |
E172176
|
entity |
| Predicate | hasFanInteraction |
P18289
|
FINISHED |
| Object | photo opportunities with fans |
—
|
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: photo opportunities with fans | Statement: [Buzz, hasFanInteraction, photo opportunities with fans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFanInteraction Context triple: [Buzz, hasFanInteraction, photo opportunities with fans]
-
A.
hasFanActivity
chosen
Indicates that an entity is associated with actions, behaviors, or engagement carried out by fans in relation to it.
-
B.
hasFan
Indicates that an entity is the admirer, supporter, or enthusiast of another entity.
-
C.
hasInteraction
Indicates that there is some form of interaction or mutual action occurring between the related entities.
-
D.
hasFanCommunity
Indicates that an entity is associated with a group of fans who actively follow, support, or engage around it.
-
E.
hasFanPerception
Indicates that an entity is perceived, interpreted, or regarded in a particular way by its fans or fan community.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa1f6e888190ac6580724803fbc3 |
completed | March 27, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:54 p.m.