Triple
T9165168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pablo Schreiber |
E219934
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Weeds |
E239556
|
NE FINISHED |
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: [Pablo Schreiber, notableWork, Weeds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weeds Context triple: [Pablo Schreiber, notableWork, 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.
This Weed Iz Mine
"This Weed Iz Mine" is a cannabis-themed hip hop track by Snoop Dogg featured on his album "Doggumentary."
-
D.
Rushes
"Rushes" is a notable work by the artist known as The Fireman, the experimental music project of Paul McCartney and producer Youth.
-
E.
Harvest
"Harvest" is a medical thriller novel by Tess Gerritsen that follows a young surgical resident who uncovers a deadly black-market organ trafficking scheme.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2ee64c8190a9a5abafe5d0b086 |
completed | April 1, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05484c2688190a5c64b5b54bedbb5 |
completed | April 4, 2026, midnight |
Created at: March 30, 2026, 7:22 p.m.