Triple
T15610564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Hamer |
E375277
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Zak Zodiac |
E336600
|
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: Zak Zodiac | Statement: [Julia Hamer, hasRelative, Zak Zodiac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zak Zodiac Context triple: [Julia Hamer, hasRelative, Zak Zodiac]
-
A.
Zak Zodiac
chosen
Zak Zodiac is a British professional wrestler known for being part of the Knight wrestling family and the brother of WWE star Saraya (Paige).
-
B.
Shizuo
Shizuo is a Japanese masculine given name borne by several notable figures, including mathematicians and artists.
-
C.
Akito
Akito is the main playable protagonist in the action-adventure game Ghostwire: Tokyo, a young man who survives a mysterious catastrophe in Tokyo and gains supernatural abilities after merging with a spirit.
-
D.
Akiro
Akiro is a wise and skilled wizard who serves as one of Conan the Barbarian’s key companions in the film "Conan the Destroyer."
-
E.
Asa Kazato
Asa Kazato is a central character in the visual novel "If My Heart Had Wings," known for her quiet demeanor and involvement in the story’s themes of youth, dreams, and aviation.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e8024948190a6c711f2e5c2aac4 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d76c108190aa3cae2d7e17c301 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:13 a.m.