Triple
T19464476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rex Bell |
E486956
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Law and Order |
—
|
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 and Order | Statement: [Rex Bell, notableWork, Law and Order]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Law and Order Context triple: [Rex Bell, notableWork, Law and Order]
-
A.
Law and Order
"Law and Order" is a sociological work by Ralf Dahrendorf that analyzes the relationship between social conflict, authority, and the maintenance of social order in modern societies.
-
B.
Law and Order
chosen
Law and Order is a 1969 observational documentary film by Frederick Wiseman that examines the daily activities and practices of the Kansas City police force.
-
C.
Law & Order
Law & Order is a long-running American television crime and legal drama series that follows police investigations and subsequent courtroom prosecutions in New York City.
-
D.
The Law
The Law is a 1974 American television film, written by Joel Oliansky, that offers a dramatic, behind-the-scenes look at the workings of the criminal justice system.
-
E.
The Law
The Law is a prominent volcanic plug and hill in Dundee, Scotland, offering panoramic views over the city and the River Tay.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633d0fe3c8190b637f78bfad704d0 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.