Triple
T22703898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Property 2 |
E561394
|
entity |
| Predicate | isSequelTo |
P1961
|
FINISHED |
| Object | State Property |
—
|
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: State Property | Statement: [State Property 2, isSequelTo, State Property]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: State Property Context triple: [State Property 2, isSequelTo, State Property]
-
A.
State Property
chosen
State Property is a Philadelphia-based hip hop collective and rap group led by Beanie Sigel, known for its association with Roc-A-Fella Records in the early 2000s.
-
B.
State Property 2
State Property 2 is a 2005 American crime film and sequel to the original State Property, featuring rapper Beanie Sigel in a gritty tale of street rivalries and power struggles.
-
C.
State
State is an underground subway station in downtown Boston that serves as a major transfer point between the MBTA Blue and Orange Lines.
-
D.
State
State is a behavioral design pattern that lets an object alter its behavior when its internal state changes, making it appear as if the object has changed its class.
-
E.
State
The State is the governing authority of a defined territory that holds the ultimate power to create and enforce laws, including granting law enforcement agencies their legal authority.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178cca1e48190bbe7910f13692803 |
completed | April 29, 2026, 3:19 a.m. |
Created at: April 17, 2026, 3:16 p.m.