Triple
T1116372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max |
E11109
|
entity |
| Predicate | hasDiminutiveForm |
P456
|
FINISHED |
| Object | Maxy |
E11109
|
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: Maxy | Statement: [Max, hasDiminutiveForm, Maxy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maxy Context triple: [Max, hasDiminutiveForm, Maxy]
-
A.
Max
chosen
Max is a masculine given name commonly used in German- and English-speaking countries, often as a short form of Maximilian or Maxwell.
-
B.
Max
Max is a subscription-based streaming service owned by Warner Bros. Discovery that offers a wide range of films, series, and original programming.
-
C.
Martz
Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
-
D.
Kiko
Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
-
E.
Jussy
Jussy is a rural municipality in western Switzerland known for its vineyards and countryside within the canton of Geneva.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bba2b550819081f8a100638d2fba |
completed | March 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac59a4316c8190a4adc10e454c2855 |
completed | March 7, 2026, 5 p.m. |
Created at: March 1, 2026, 7:43 p.m.