Triple
T33499781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E.R. |
E857956
|
entity |
| Predicate | hasSpinOffInfluenceOn |
P53721
|
FINISHED |
| Object | later medical dramas |
—
|
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: later medical dramas | Statement: [E.R., hasSpinOffInfluenceOn, later medical dramas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpinOffInfluenceOn Context triple: [E.R., hasSpinOffInfluenceOn, later medical dramas]
-
A.
hasSpinOff
Indicates that one entity is a derivative or spin-off product, work, or organization that originated from another entity.
-
B.
hasSpinOffLabel
Indicates that one entity serves as a spin-off label or subsidiary label that originated from another label entity.
-
C.
spinOffInfluence
chosen
Indicates that one entity has influenced the creation, direction, or characteristics of another entity that is derived from it as a spin-off.
-
D.
hasSpinOffPotential
Indicates that an entity (such as a project, product, or idea) has the capacity to be developed into a separate, independent venture or derivative offering.
-
E.
hasFranchiseOrSpinOff
Indicates that one work, series, or product is related to another as a franchise entry or a spin-off derived from it.
- 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: May 1, 2026, 1:38 a.m.