Triple
T15907513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ER season 6 |
E385758
|
entity |
| Predicate | includesStoryArc |
P6847
|
FINISHED |
| Object | attack on Carter and Lucy by a patient |
—
|
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: attack on Carter and Lucy by a patient | Statement: [ER season 6, includesStoryArc, attack on Carter and Lucy by a patient]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesStoryArc Context triple: [ER season 6, includesStoryArc, attack on Carter and Lucy by a patient]
-
A.
notableStoryArc
Indicates that there exists a significant or prominent narrative storyline or plot development involving the subject.
-
B.
storyArcLength
Indicates the duration or extent of a narrative arc within a story, such as how long a particular plotline continues.
-
C.
originStoryIncludes
Indicates that an entity’s origin story contains, involves, or features the referenced element as a component or part of that backstory.
-
D.
containsNarrativeOf
chosen
Indicates that one entity includes or presents the story, account, or narrative content of another entity.
-
E.
stakesInStory
Indicates that one entity has a personal investment, risk, or potential gain/loss tied to the outcome of another entity’s story or narrative.
- 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.