Triple
T14460765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunnm |
E358576
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object | Alita |
E73007
|
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: Alita | Statement: [Gunnm, protagonist, Alita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alita Context triple: [Gunnm, protagonist, Alita]
-
A.
Alita: Battle Angel
chosen
Alita: Battle Angel is a 2019 cyberpunk action film, produced by James Cameron and directed by Robert Rodriguez, that adapts Yukito Kishiro’s manga about a powerful cyborg girl navigating a dystopian future.
-
B.
Cyborg
Cyborg is a 1973 electronic music album by German composer Klaus Schulze, known for its expansive, experimental soundscapes that helped define early ambient and space music.
-
C.
Cyborg
Cyborg is a prominent DC Comics superhero, best known as a technologically enhanced human and key member of teams like the Teen Titans and the Justice League.
-
D.
Aelita
Aelita is a pioneering early Soviet science fiction novel by Alexei Tolstoy that tells the story of a journey to Mars and a revolutionary uprising there.
-
E.
Saaho
Saaho is a 2019 Indian action thriller film known for its high-budget production, elaborate action sequences, and starring Prabhas in the lead role.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91abc1008190a19de4f8f0112c9d |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d890be88190afe61dde0d1e75a8 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:19 a.m.