Triple
T11048463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fall of Númenor |
E261186
|
entity |
| Predicate | consequenceForSauron |
P40708
|
FINISHED |
| Object | destruction of Sauron’s physical body |
—
|
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: destruction of Sauron’s physical body | Statement: [Fall of Númenor, consequenceForSauron, destruction of Sauron’s physical body]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceForSauron Context triple: [Fall of Númenor, consequenceForSauron, destruction of Sauron’s physical body]
-
A.
hasConsequence
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
B.
consequenceOfDestruction
Indicates that one event, state, or condition occurs as a direct result of a prior act of destruction.
-
C.
inUniverseConsequence
Indicates that one event, action, or state leads to a resulting effect or outcome within the same fictional or defined universe.
-
D.
consequenceForOpponents
Indicates that one party’s actions or status result in negative outcomes, penalties, or repercussions specifically for their opponents.
-
E.
narrativeConsequence
chosen
Indicates that one event, action, or state occurs as a direct result or outcome of another within a narrative sequence.
- 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.