Triple
T36413472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House (TV series) pilot episode |
E896941
|
entity |
| Predicate | franchiseEntryPointFor |
P185468
|
FINISHED |
| Object | House (TV series) |
—
|
NE NERFINISHED |
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: House (TV series) | Statement: [House (TV series) pilot episode, franchiseEntryPointFor, House (TV series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseEntryPointFor Context triple: [House (TV series) pilot episode, franchiseEntryPointFor, House (TV series)]
-
A.
franchiseEntryType
Indicates the specific category or type of entry by which a franchise participates or is represented within a larger system or context.
-
B.
franchiseElement
Indicates that one entity is a component, installment, or part within a larger franchise or series associated with another entity.
-
C.
franchiseEntryNumber
Indicates the ordinal position or sequence number of an entry within a franchise series.
-
D.
franchiseStarterFor
Indicates that one entity is the initial or primary franchise location, product, or person from which a broader franchise operation is launched or developed for another entity.
-
E.
launchesFranchise
Indicates that one entity initiates and establishes a new franchise operation or brand based on another entity.
- F. None of above. chosen
Provenance (4 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.