Triple
T4072913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hel |
E86688
|
entity |
| Predicate | hasAlternativeName |
P39
|
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: [Hel, hasAlternativeName, Hela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hela Context triple: [Hel, hasAlternativeName, Hela]
-
A.
Hela
chosen
Hela is the Asgardian goddess of death and the primary antagonist in the Marvel Cinematic Universe film "Thor: Ragnarok."
-
B.
Korvac
Korvac is a powerful cosmic villain in Marvel Comics best known for battling the Avengers and the Guardians of the Galaxy in the classic "Korvac Saga."
-
C.
Dormammu
Dormammu is a powerful extra-dimensional warlord and ruler of the Dark Dimension in the Marvel universe, known as one of Doctor Strange’s most formidable mystical adversaries.
-
D.
Shuma-Gorath
Shuma-Gorath is an ancient, godlike, tentacled demon from Marvel Comics known for its immense mystical power and frequent clashes with Doctor Strange.
-
E.
Hellmut
Hellmut is a masculine given name of German origin, used as a variant spelling of Helmut.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc22be988190a2b6575d4f5e0f7b |
completed | March 9, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562bc05948190a9ad709768420588 |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:38 p.m.