Triple
T9485978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Máximo |
E228761
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Maximo |
E129009
|
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: Maximo | Statement: [Máximo, hasVariant, Maximo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maximo Context triple: [Máximo, hasVariant, Maximo]
-
A.
Maximo
chosen
Maximo is a given name, often used as a variant of "Maximus" or "Max," found in various cultures and languages.
-
B.
Sparx
Sparx is the loyal dragonfly companion and health indicator who follows Spyro throughout the Spyro the Dragon video game series.
-
C.
Sabre
Sabre is a leading global travel technology company that provides software and distribution solutions for airlines, hotels, and travel agencies.
-
D.
Emprise
Emprise is a science fiction novel by Michael Kube-McDowell, known as the first book in his Trigon Disunity series exploring humanity’s contact with extraterrestrial intelligence.
-
E.
Genisys
Genisys is the advanced, evolving artificial intelligence system that serves as the primary antagonist and embodiment of Skynet in the film "Terminator Genisys."
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd804fb2b4819084c7f5a842dbe5a6 |
completed | April 1, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d1326b8819084c6d9490b7a96dc |
completed | April 4, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:55 p.m.