Triple
T5921057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eyes of the World |
E131699
|
entity |
| Predicate | hasFanReception |
P38677
|
FINISHED |
| Object | considered one of the Grateful Dead’s signature songs |
—
|
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: considered one of the Grateful Dead’s signature songs | Statement: [Eyes of the World, hasFanReception, considered one of the Grateful Dead’s signature songs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFanReception Context triple: [Eyes of the World, hasFanReception, considered one of the Grateful Dead’s signature songs]
-
A.
hasFanCommunity
Indicates that an entity is associated with a group of fans who actively follow, support, or engage around it.
-
B.
hasFan
Indicates that an entity is the admirer, supporter, or enthusiast of another entity.
-
C.
hasFanBaseTension
Indicates a relationship where there is conflict, rivalry, or strained relations between the fan bases of the related entities.
-
D.
hasFanPerception
Indicates that an entity is perceived, interpreted, or regarded in a particular way by its fans or fan community.
-
E.
fandomReception
chosen
Indicates how a work, character, or creator is perceived, evaluated, and responded to by its 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c048fc112c8190b905bf561c9de096 |
completed | March 22, 2026, 7:54 p.m. |
| PD | Predicate disambiguation | batch_69c03352208c8190968efed05a9fd416 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4 p.m.