Triple
T15358087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lloyd Garmadon |
E367214
|
entity |
| Predicate | ally |
P4662
|
FINISHED |
| Object | Zane |
E471682
|
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: Zane | Statement: [Lloyd Garmadon, ally, Zane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zane Context triple: [Lloyd Garmadon, ally, Zane]
-
A.
Zane
chosen
Zane is a masculine given name of various origins, often considered a variant of John or a surname-turned-first-name in English-speaking countries.
-
B.
Zane Frazier
Zane Frazier is an American kickboxer and mixed martial artist known as one of the early competitors in the Ultimate Fighting Championship.
-
C.
Zack
Zack is a central character in Guy Ritchie's 2005 crime thriller film "Revolver," involved in the movie's intricate web of cons, psychological manipulation, and underworld dealings.
-
D.
Zach
Zach is a fictional character played by American actor Charlie Tahan, known for his roles in film and television.
-
E.
Zach
Zach is a lively, theatrical evacuee boy in the novel "Goodnight Mister Tom," known for his exuberant personality and close friendship with fellow evacuee Willie Beech.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2d4934819097fc63603964217c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b45e3048190a7fa62ead6916fed |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.