Triple
T12566040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azog |
E295479
|
entity |
| Predicate | loyalTo |
P1201
|
FINISHED |
| Object | Sauron |
E218722
|
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: Sauron | Statement: [Azog, loyalTo, Sauron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sauron Context triple: [Azog, loyalTo, Sauron]
-
A.
Sauron
chosen
Sauron is the primary dark antagonist of J.R.R. Tolkien’s Middle-earth legendarium, a fallen Maia who seeks dominion over all life through the power of the One Ring.
-
B.
Morgoth
Morgoth is the primordial Dark Lord of J.R.R. Tolkien’s legendarium, a fallen Vala who sought to corrupt and dominate Arda long before Sauron.
-
C.
Malekith
Malekith is the dark elf leader and primary antagonist in the Marvel film "Thor: The Dark World," seeking to plunge the universe into darkness using the Aether.
-
D.
Saruman
Saruman is a powerful wizard and primary antagonist in J.R.R. Tolkien's Middle-earth legendarium, most prominently featured in "The Lord of the Rings."
-
E.
Witch-king of Angmar
The Witch-king of Angmar is the Lord of the Nazgûl and Sauron’s chief servant in J.R.R. Tolkien’s Middle-earth legendarium, feared as the most powerful of the Ringwraiths.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9549611c081909e611756f3cce7f0 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6558f87b081909ba179b49bae3913 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 11:49 p.m.