Triple
T31655831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Forever |
E807855
|
entity |
| Predicate | endingsReception |
P172069
|
FINISHED |
| Object | divisive among 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: divisive among fans | Statement: [Last Forever, endingsReception, divisive among fans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endingsReception Context triple: [Last Forever, endingsReception, divisive among fans]
-
A.
endedWith
Indicates that one event, process, or state concluded with or was finalized by another specified event, condition, or outcome.
-
B.
receives
Indicates that one entity is the recipient of something (such as an object, message, or action) from another entity.
-
C.
endOf
Indicates that one entity marks the terminating point or final boundary of another entity, event, or interval.
-
D.
receptions
Indicates that one entity formally receives, welcomes, or hosts another entity, often in a social, ceremonial, or official context.
-
E.
reception
Indicates the act of receiving or welcoming someone or something, often marking the initial acknowledgment or acceptance in an interaction or process.
- 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a95e38ac819096c03f2b9872260f |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a8036ab481908019f2f071fa406e |
completed | May 3, 2026, 1:42 a.m. |
Created at: April 30, 2026, 10:55 p.m.