Triple
T1782032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thor: Ragnarok |
E39309
|
entity |
| Predicate | villain |
P4675
|
FINISHED |
| Object | Hela |
E199978
|
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: Hela | Statement: [Thor: Ragnarok, villain, Hela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hela Context triple: [Thor: Ragnarok, villain, Hela]
-
A.
Hela
chosen
Hela is the Asgardian goddess of death and the primary antagonist in the Marvel Cinematic Universe film "Thor: Ragnarok."
-
B.
Zahhak
Zahhak is a legendary tyrant king in Persian mythology, most famously depicted in Ferdowsi’s Shahnameh as a demonic ruler with serpents growing from his shoulders.
-
C.
Hudra
The Hudra is a principal liturgical book of the Syriac tradition, containing prayers, hymns, and rites used throughout the liturgical year.
-
D.
Tarasque
The Tarasque is a legendary dragon-like monster from Provençal folklore, famously tamed by Saint Martha and associated with the town of Tarascon in southern France.
-
E.
Dagon
Dagon is an ancient Semitic deity, often associated with grain, fertility, and sometimes the sea, worshipped across regions including Phoenicia and Mesopotamia.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64e34fe881908aa75f2b4141b87b |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5cbefec8190940cf2a4f692394e |
completed | March 8, 2026, 5:45 p.m. |
Created at: March 4, 2026, 7:31 p.m.