Triple
T11049391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Doom |
E261206
|
entity |
| Predicate | firstForgingOfOneRing |
P92681
|
FINISHED |
| Object | in the fires of Mount Doom |
—
|
LITERAL 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: in the fires of Mount Doom | Statement: [Mount Doom, firstForgingOfOneRing, in the fires of Mount Doom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstForgingOfOneRing Context triple: [Mount Doom, firstForgingOfOneRing, in the fires of Mount Doom]
-
A.
ringNameForOneRing
Indicates that a given name is the specific title or designation used for the One Ring.
-
B.
weaponForgedFor
Indicates that a weapon was specifically created or crafted for a particular entity, purpose, or context.
-
C.
weaponForged
Indicates that one entity has been created or shaped as a weapon by another entity through a forging process.
-
D.
reforgedIn
chosen
Indicates that an object or material has been melted down or reworked and newly forged within a particular place, context, or process.
-
E.
firstSummoned
Indicates that one entity is the earliest or initial entity to be summoned relative to others in a given context.
- F. None of above.
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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79867fa28819094f564273e3ef51d |
completed | April 9, 2026, 12:15 p.m. |
| PD | Predicate disambiguation | batch_69d7440da46c8190a77380d5d747ac9c |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.