Triple
T19452441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenji Kohan |
E486644
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Weeds (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: Weeds (TV series) | Statement: [Jenji Kohan, notableWork, Weeds (TV series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weeds (TV series) Context triple: [Jenji Kohan, notableWork, Weeds (TV series)]
-
A.
Weeds
Weeds is a 1987 drama film starring Matthew Modine that explores the lives of prison inmates who stage a theatrical production as a path to redemption.
-
B.
Weeds
chosen
Weeds is a dark comedy-drama television series that follows a widowed suburban mother who turns to selling marijuana to support her family.
-
C.
King of the Weeds
King of the Weeds is a hardboiled crime novel in the Mike Hammer detective series, co-authored by Mickey Spillane and Max Allan Collins and published posthumously from Spillane’s unfinished manuscript.
-
D.
Clover
Clover is a feminine given name most prominently associated with Australian politician and long-serving Lord Mayor of Sydney, Clover Moore.
-
E.
Clover
Clover is a Fiserv-owned point-of-sale and payment processing platform widely used by small and medium-sized businesses for in-store and online transactions.
- 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_69e63392aab08190aab09b7c356e5b10 |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.