Triple
T15393743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hati Hróðvitnisson |
E368114
|
entity |
| Predicate | chases |
P118603
|
FINISHED |
| Object | the shining god who guides the Moon |
—
|
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: the shining god who guides the Moon | Statement: [Hati Hróðvitnisson, chases, the shining god who guides the Moon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chases Context triple: [Hati Hróðvitnisson, chases, the shining god who guides the Moon]
-
A.
catches
Indicates that one entity successfully seizes, intercepts, or takes hold of another entity, often stopping its motion or preventing its escape.
-
B.
racesAgainst
Indicates that one entity competes in a race directly against another entity.
-
C.
challenger
Indicates that one entity is challenging or opposing another, typically by initiating a contest, dispute, or competitive confrontation.
-
D.
tackles
Indicates that one entity forcefully brings another entity to the ground or physically stops their movement, typically in a competitive or confrontational context.
-
E.
reaches
Indicates that one entity extends or moves until it makes contact with, attains, or arrives at another entity or point.
- F. None of above. chosen
Provenance (4 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7838b48190862b43c6c8620692 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:19 a.m.