Triple
T25950276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Law & Order: Organized Crime |
E653949
|
entity |
| Predicate | franchisePeer |
P159850
|
FINISHED |
| Object | Law & Order: Criminal Intent |
—
|
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: Law & Order: Criminal Intent | Statement: [Law & Order: Organized Crime, franchisePeer, Law & Order: Criminal Intent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchisePeer Context triple: [Law & Order: Organized Crime, franchisePeer, Law & Order: Criminal Intent]
-
A.
franchisePeer
chosen
Indicates that two franchises are considered peers, typically operating at a similar level or within the same tier, category, or network for comparison or coordination purposes.
-
B.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
C.
franchiseConnection
Indicates a relationship where one entity is part of, derived from, or otherwise officially linked to a larger franchise or brand.
-
D.
franchiseElement
Indicates that one entity is a component, installment, or part within a larger franchise or series associated with another entity.
-
E.
franchiseBrand
Indicates that one entity is the brand under which another entity operates as a franchise.
- 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_69e7ab40ac788190a771bc499eb1ae5f |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60494d2808190b38f338685628eda |
completed | May 2, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 22, 2026, 8:43 a.m.