Triple
T22820076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Alejandro |
E565201
|
entity |
| Predicate | playedIn |
P2170
|
FINISHED |
| Object | Weeds |
—
|
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 | Statement: [Kevin Alejandro, playedIn, Weeds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weeds Context triple: [Kevin Alejandro, playedIn, Weeds]
-
A.
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.
-
B.
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.
-
C.
The Weed
"The Weed" is a poem by Elizabeth Bishop that explores themes of memory, loss, and emotional entanglement through the extended metaphor of an invasive plant.
-
D.
Wild Weed
Wild Weed is a 1949 American exploitation film about marijuana use, starring Lila Leeds and often cited as a classic example of mid-20th-century anti-drug cinema.
-
E.
Trodden Weed
Trodden Weed is a 1951 tempera painting by American realist artist Andrew Wyeth, known for its detailed depiction of the artist’s own feet walking through dry grass and leaves.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dcf39a88190bec26affc304236d |
completed | April 29, 2026, 3:41 a.m. |
Created at: April 17, 2026, 3:33 p.m.