Triple
T6101705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Cameron |
E136012
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Yield |
E139325
|
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: Yield | Statement: [Matt Cameron, notableWork, Yield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yield Context triple: [Matt Cameron, notableWork, Yield]
-
A.
Yield
chosen
Yield is Pearl Jam's 1998 studio album that marked a return to a more accessible rock sound and produced singles like "Given to Fly" and "Do the Evolution."
-
B.
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.
-
C.
Harvest
Harvest is a 1972 folk-rock album by Neil Young, widely regarded as one of his signature works and a classic of the singer-songwriter era.
-
D.
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.
-
E.
Weeds
Weeds is a dark comedy-drama television series that follows a widowed suburban mother who turns to selling marijuana to support her family.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3c073c81908248c799934d6fce |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1254fbbf881908b7a3d07f0400387 |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:13 p.m.