Triple
T4167407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haida mythology |
E84477
|
entity |
| Predicate | hasKeyFigure |
P810
|
FINISHED |
| Object | Raven |
E418247
|
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: Raven | Statement: [Haida mythology, hasKeyFigure, Raven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raven Context triple: [Haida mythology, hasKeyFigure, Raven]
-
A.
Raven
chosen
Raven is a central trickster-creator figure in Haida mythology, known for shaping the world and bringing light and knowledge to humanity.
-
B.
Raven
Raven is a powerful, empathic half-demon sorceress and core member of the Teen Titans, known for her dark, reserved personality and struggle to control her immense magical abilities.
-
C.
Ganada (Raven)
Ganada (Raven) is one of the principal matrilineal clans of the Nisga’a people, traditionally associated with the Raven crest and its related stories, rights, and responsibilities.
-
D.
Red Raven
Red Raven is a Marvel Comics superhero known for his avian-themed abilities and association with the World War II-era team the Invaders.
-
E.
River Cain
River Cain is a small river in Powys, Wales, that flows through the town of Llanfyllin before joining the River Vyrnwy.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02c43a7481909eed7cb8c14deb0c |
completed | March 9, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b59611f8548190a47638bcd95e1541 |
completed | March 14, 2026, 5:08 p.m. |
Created at: March 9, 2026, 3:44 p.m.