Triple
T6189506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maximus Decimus Meridius |
E138149
|
entity |
| Predicate | trainedBy |
P3665
|
FINISHED |
| Object |
Proximo
Proximo is the former gladiator-turned-lanista in the film "Gladiator" who owns and mentors Maximus in the arena.
|
E574698
|
NE FINISHED |
How this triple was built (4 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: Proximo | Statement: [Maximus Decimus Meridius, trainedBy, Proximo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Proximo Context triple: [Maximus Decimus Meridius, trainedBy, Proximo]
-
A.
Nexo
Nexo is a town on the eastern coast of the Danish island of Bornholm, known for its fishing harbor and coastal scenery.
-
B.
Avant
Avant is an American R&B singer and songwriter known for smooth, soulful ballads and early-2000s hits like "Separated" and "Read Your Mind."
-
C.
Neox
Neox is a Spanish television channel owned by Atresmedia that primarily targets young audiences with a mix of series, films, and entertainment programs.
-
D.
Nova
Nova is the name given to TransPennine Express’s modern fleet of intercity trains used across its key routes in the North of England and Scotland.
-
E.
Nova
Nova is a Spanish television channel that primarily targets female audiences with a mix of telenovelas, lifestyle programs, and entertainment content.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Proximo Triple: [Maximus Decimus Meridius, trainedBy, Proximo]
Generated description
Proximo is the former gladiator-turned-lanista in the film "Gladiator" who owns and mentors Maximus in the arena.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Proximo Target entity description: Proximo is the former gladiator-turned-lanista in the film "Gladiator" who owns and mentors Maximus in the arena.
-
A.
Nexo
Nexo is a town on the eastern coast of the Danish island of Bornholm, known for its fishing harbor and coastal scenery.
-
B.
Avant
Avant is an American R&B singer and songwriter known for smooth, soulful ballads and early-2000s hits like "Separated" and "Read Your Mind."
-
C.
Neox
Neox is a Spanish television channel owned by Atresmedia that primarily targets young audiences with a mix of series, films, and entertainment programs.
-
D.
Nova
Nova is the name given to TransPennine Express’s modern fleet of intercity trains used across its key routes in the North of England and Scotland.
-
E.
Nova
Nova is a Spanish television channel that primarily targets female audiences with a mix of telenovelas, lifestyle programs, and entertainment content.
- F. None of above. chosen
Provenance (5 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062192c5481909eb41f8c5d1208a3 |
completed | March 22, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f06c770819087e055cfe6c8b134 |
completed | March 23, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_69c1bfb484ac8190903efdf4a18f3a1c |
completed | March 23, 2026, 10:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1c03551008190af5e3427b4cdcd11 |
completed | March 23, 2026, 10:35 p.m. |
Created at: March 22, 2026, 4:19 p.m.