Triple
T11659119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Witch (Minecraft) |
E277078
|
entity |
| Predicate | hostileTo |
P21197
|
FINISHED |
| Object | Iron Golem |
E277077
|
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: Iron Golem | Statement: [Witch (Minecraft), hostileTo, Iron Golem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iron Golem Context triple: [Witch (Minecraft), hostileTo, Iron Golem]
-
A.
Iron Golem
chosen
Iron Golem is a powerful, neutral utility mob in Minecraft that protects villagers and players by attacking hostile creatures.
-
B.
Oger
Oger is a renowned Champagne-producing village in France’s Côte des Blancs, celebrated for its high-quality Chardonnay vineyards and prestigious Grand Cru status.
-
C.
Grohg
Grohg is an early ballet score by American composer Aaron Copland that explores macabre, expressionist themes and later provided material for his Dance Symphony.
-
D.
Throsk
Throsk is a small village in central Scotland situated on the River Forth within the Stirling council area.
-
E.
Gurgi
Gurgi is a timid yet loyal, creature-like companion character from Disney’s animated fantasy film "The Black Cauldron."
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d19c788190826d849a6ffedc72 |
completed | April 10, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee882148a08190a1a8c16d8cb7e48a |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 8, 2026, 9:39 p.m.