Triple
T37918800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodbye Song |
E945897
|
entity |
| Predicate | typicalPositionInEpisode |
P112307
|
FINISHED |
| Object | end |
—
|
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: end | Statement: [Goodbye Song, typicalPositionInEpisode, end]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPositionInEpisode Context triple: [Goodbye Song, typicalPositionInEpisode, end]
-
A.
positionInSeason
Indicates the specific ordinal placement or ranking of something within the sequence of items in a season.
-
B.
positionInStory
Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
-
C.
ageLaterInEpisode
Indicates that one entity is older than another at a later point within the same episode or time segment.
-
D.
typicalPositionType
chosen
Indicates the usual or most common positional role or placement type that an entity generally occupies or is associated with.
-
E.
positionInAct
Indicates the specific location or role that something occupies within a particular act or segment of a larger sequence or performance.
- 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_69f76ef2ebd88190be5229f2621070b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.