Triple
T15312211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monsoon |
E366064
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Monsoon |
E397512
|
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: Monsoon | Statement: [Monsoon, title, Monsoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monsoon Context triple: [Monsoon, title, Monsoon]
-
A.
Monsoon
chosen
Monsoon is a historical adventure novel by Wilbur Smith that follows the exploits of the Courtney family amid seafaring, warfare, and trade in the 17th-century Indian Ocean.
-
B.
Monsoon
Monsoon is the codename for the high-performance CPU cores used in Apple’s A11 Bionic system-on-a-chip, powering devices like the iPhone 8 and iPhone X.
-
C.
Monsoon
Monsoon is the shared surname of the eccentric central family in the British sitcom "Absolutely Fabulous."
-
D.
Monsoon
"Monsoon" is a mellow, introspective song by Jack Johnson from his 2008 album *Sleep Through the Static*, blending acoustic melodies with reflective lyrics.
-
E.
Monsoon
Monsoon is a 2019 British drama film starring Henry Golding as a man returning to Vietnam to rediscover his roots after growing up in the UK.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd2d5a88190aead748920f93d47 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a3da3881909b50cfbec0543adc |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.