Triple
T37462758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vicious Fledgling |
E930958
|
entity |
| Predicate | formatReputation |
P190111
|
FINISHED |
| Object | considered very snowbally in early-game |
—
|
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: considered very snowbally in early-game | Statement: [Vicious Fledgling, formatReputation, considered very snowbally in early-game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatReputation Context triple: [Vicious Fledgling, formatReputation, considered very snowbally in early-game]
-
A.
denotesReputationOf
Indicates that one entity represents, expresses, or serves as an indicator of the reputation or perceived standing of another entity.
-
B.
scoringReputation
Indicates that one entity evaluates and assigns a reputation-related score to another entity based on its behavior or performance.
-
C.
actualOutputReputation
Indicates that an entity’s reputation is determined by its real, observed performance or output rather than expectations or projections.
-
D.
addsReputation
Indicates that one entity increases or contributes to the reputation score or standing of another entity.
-
E.
tributeAssessmentReputation
Indicates the evaluation of an entity’s reputation specifically in the context of determining or justifying a tribute assessment.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcab6d41a88190a3576b4b088dcabd |
completed | May 7, 2026, 3:10 p.m. |
Created at: May 3, 2026, 4:17 p.m.