Triple
T3276770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beverly Hills Cop III |
E68775
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Serge |
E326747
|
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: Serge | Statement: [Beverly Hills Cop III, character, Serge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serge Context triple: [Beverly Hills Cop III, character, Serge]
-
A.
Serge
chosen
Serge is a masculine given name of French origin, commonly used in Francophone countries and derived from the Latin name Sergius.
-
B.
Sergei
Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
-
C.
Sergy
Sergy is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
D.
Sergei Makarov
Sergei Makarov is a legendary Russian ice hockey forward renowned for his starring role with the Soviet national team and CSKA Moscow, as well as his successful NHL career.
-
E.
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.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0128f08819084644f3c8fda2596 |
completed | March 8, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e84a3c2c8190908152fc042fcad1 |
completed | March 12, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:10 p.m.