Triple
T32094459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ossë |
E819688
|
entity |
| Predicate | onceSeducedBy |
P23873
|
FINISHED |
| Object | Melkor |
—
|
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: Melkor | Statement: [Ossë, onceSeducedBy, Melkor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onceSeducedBy Context triple: [Ossë, onceSeducedBy, Melkor]
-
A.
seducedBy
chosen
Indicates that one entity has been romantically or sexually enticed, persuaded, or lured into intimacy or a relationship by another entity.
-
B.
fellInLoveWith
Indicates that one entity developed romantic love or deep affectionate feelings toward another entity.
-
C.
hasRomanticMisadventures
Indicates that an entity experiences a series of problematic, comical, or unsuccessful romantic relationships or encounters.
-
D.
hasAffairWith
Indicates that one entity is engaged in a secret or illicit romantic or sexual relationship with another entity, typically outside a committed partnership.
-
E.
hadPartner
Indicates that an entity was in a romantic or life-partner relationship with another entity at some point in time.
- 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b6405b1881908f9739bf6af05dd1 |
completed | May 3, 2026, 2:43 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:25 a.m.