Triple
T32097058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foe-hammer |
E819746
|
entity |
| Predicate | originallyForgedFor |
P60204
|
FINISHED |
| Object | Turgon |
—
|
NE NERFINISHED |
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: Turgon | Statement: [Foe-hammer, originallyForgedFor, Turgon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyForgedFor Context triple: [Foe-hammer, originallyForgedFor, Turgon]
-
A.
forgedWith
Indicates that something has been created, shaped, or formed through the use of a specified tool, material, method, or collaborative partner.
-
B.
weaponForgedFor
chosen
Indicates that a weapon was specifically created or crafted for a particular entity, purpose, or context.
-
C.
forgedIn
Indicates that something was created, shaped, or formed within a particular place, context, or process.
-
D.
weaponTypeForged
Indicates that a specific type of weapon has been created or forged, typically specifying the kind or category of weapon produced.
-
E.
weaponForged
Indicates that one entity has been created or shaped as a weapon by another entity through a forging process.
- 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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0160834e388190908591b300954d29 |
completed | May 11, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_6a01602a83408190a11d754bdc7da0e9 |
completed | May 11, 2026, 4:50 a.m. |
Created at: May 1, 2026, 12:26 a.m.