Triple
T3798946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pearl |
E91640
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object | Kino |
E388950
|
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: Kino | Statement: [The Pearl, protagonist, Kino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kino Context triple: [The Pearl, protagonist, Kino]
-
A.
Kino
chosen
Kino is the impoverished Mexican-Indian pearl diver and tragic protagonist of John Steinbeck’s novella "The Pearl."
-
B.
Leni
Leni is a diminutive form of the given name Leonore, commonly used as a short or affectionate version of the name.
-
C.
Anton
Anton is a masculine given name of Latin origin, commonly used in various European and Slavic countries.
-
D.
Pozdnyshev
Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
-
E.
Yuri
Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee7a270908190ac30537a22f3d500 |
completed | March 9, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb232650819089feed9d5bb8c91a |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:15 p.m.