Triple
T12869077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chappie |
E307799
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Ninja |
E1007717
|
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: Ninja | Statement: [Chappie, stars, Ninja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ninja Context triple: [Chappie, stars, Ninja]
-
A.
Ninja
Ninja is a fast, small, and focused build system designed to efficiently handle incremental builds in large software projects.
-
B.
Ninja
The Kawasaki OH-1 "Ninja" is a Japanese light observation and scout helicopter designed for reconnaissance and target designation missions.
-
C.
Ninja
chosen
Ninja is a South African rapper and actor best known as one half of the rave-rap duo Die Antwoord and for his distinctive, provocative performance style.
-
D.
Shinobi
Shinobi is a classic side-scrolling action game featuring a ninja protagonist, known for its challenging gameplay and influential role in the arcade and home console era.
-
E.
Ronin
Ronin is a 1998 action thriller film directed by John Frankenheimer, best known for its intricate espionage plot and realistic, high-intensity car chases set in France.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708f510c8190b4c64dc340420e85 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55161a881908d767653c17d3acc |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:38 p.m.