Triple
T11597520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hattie Shaw |
E275041
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Eteon |
E834569
|
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: Eteon | Statement: [Hattie Shaw, enemy, Eteon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eteon Context triple: [Hattie Shaw, enemy, Eteon]
-
A.
Eteon
chosen
Eteon is a shadowy, high-tech terrorist organization in the Fast & Furious franchise, known for its advanced cybernetic enhancements and global destabilization schemes.
-
B.
Deioneus
Deioneus is a figure in Greek mythology, known primarily as a Thessalian king and the husband of Diomede, and is sometimes identified as the father of the hero Cephalus.
-
C.
Polymede
Polymede is a figure in Greek mythology, traditionally known as the mother of the hero Jason.
-
D.
Asteria
Asteria is a figure in Greek mythology, a Titaness associated with falling stars and nocturnal divination.
-
E.
Anxur
Anxur was an important ancient Volscian city in central Italy, later known as Tarracina under Roman rule.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89549c870819086e16e9110bbad87 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee86f246848190a5b020c3e05d02dd |
completed | April 26, 2026, 9:43 p.m. |
Created at: April 8, 2026, 9:38 p.m.