Triple
T11028727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Summer in Ohio |
E260700
|
entity |
| Predicate | chronologicalPositionInShow |
P10630
|
FINISHED |
| Object | Cathy’s mid-story song |
—
|
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: Cathy’s mid-story song | Statement: [A Summer in Ohio, chronologicalPositionInShow, Cathy’s mid-story song]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicalPositionInShow Context triple: [A Summer in Ohio, chronologicalPositionInShow, Cathy’s mid-story song]
-
A.
positionInShow
Indicates the specific order or placement an entity occupies within a show, series, or sequence of performances or episodes.
-
B.
chronologicalPosition
chosen
Indicates the relative ordering of one event or entity in time with respect to another.
-
C.
positionInSeason
Indicates the specific ordinal placement or ranking of something within the sequence of items in a season.
-
D.
chronologicalPositionInLabors
Indicates the specific order or sequence in which a given labor occurs within a defined series of labors.
-
E.
positionInStory
Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797d245a0819085135cdee9b256c5 |
completed | April 9, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69d7440087ac8190aef2e6f6b13b2635 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:25 p.m.