Triple
T15165408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laughing Matter |
E362326
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Plum |
E27469
|
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: Plum | Statement: [Laughing Matter, follows, Plum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plum Context triple: [Laughing Matter, follows, Plum]
-
A.
Plum
chosen
Plum is the affectionate nickname of P. G. Wodehouse, the celebrated English humorist and creator of the Jeeves and Wooster stories.
-
B.
Plum
Plum is a suburban borough in Allegheny County, Pennsylvania, known for its residential communities and proximity to Pittsburgh.
-
C.
Peach
The peach is a sweet, juicy stone fruit with fuzzy skin, widely cultivated and celebrated in Georgia and other temperate regions.
-
D.
Peach
Peach is a friendly pink starfish character from Disney-Pixar’s Finding Nemo who appears in the The Seas with Nemo & Friends attraction at Epcot.
-
E.
Peach
Peach is a common English surname borne by various individuals, including British military leader Stuart Peach.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064c6244819085daf8e1eafdf3f2 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed32637748190b566602b5b37fbd3 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:08 a.m.