Triple
T15907582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ER season 15 |
E385759
|
entity |
| Predicate | concludesStoryArcsOf |
P88460
|
FINISHED |
| Object | County General Hospital staff |
—
|
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: County General Hospital staff | Statement: [ER season 15, concludesStoryArcsOf, County General Hospital staff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concludesStoryArcsOf Context triple: [ER season 15, concludesStoryArcsOf, County General Hospital staff]
-
A.
concludesStoryOf
chosen
Indicates that one entity brings the narrative or storyline of another entity to an end.
-
B.
concludes
Indicates that one entity brings something (such as an event, process, or discussion) to an end or reaches a final decision or judgment about it.
-
C.
concludesAbout
Indicates that one entity forms or states a conclusion regarding another entity or its properties.
-
D.
concludedBy
Indicates that an event, process, or state is brought to an end or finalized by a specific agent or entity.
-
E.
concludedWith
Indicates that an event, process, or interaction ended or was finalized by a specific outcome, action, or state.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:52 a.m.