Triple
T17343677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griffith |
E421127
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Guts |
E1263726
|
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: Guts | Statement: [Griffith, enemyOf, Guts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guts Context triple: [Griffith, enemyOf, Guts]
-
A.
Guts
chosen
Guts is the battle-hardened, tragic swordsman protagonist of the dark fantasy manga and anime series "Berserk."
-
B.
GUTS
GUTS is Olivia Rodrigo’s critically acclaimed second studio album, known for its raw pop-rock sound and candid exploration of young adulthood and emotional turmoil.
-
C.
Berserk
Berserk is a dark fantasy manga series by Kentaro Miura, renowned for its brutal medieval setting, complex characters, and intricate artwork.
-
D.
Die Hart
Die Hart is an action-comedy series starring Kevin Hart as a fictionalized version of himself trying to become an action movie star, blending Hollywood satire with over-the-top stunts.
-
E.
Tabasaran
Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a18aca88190a816da85dd5fe371 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195546198819085804ec0b5b18040 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.