Triple
T37872826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Golden Lotus |
E944646
|
entity |
| Predicate | maxReputationRank |
P165656
|
FINISHED |
| Object | Exalted |
—
|
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: Exalted | Statement: [The Golden Lotus, maxReputationRank, Exalted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxReputationRank Context triple: [The Golden Lotus, maxReputationRank, Exalted]
-
A.
highestRankIn
Indicates that one entity holds the top or most senior rank within a specified group, category, or context relative to other entities.
-
B.
highestRanking
Indicates that one entity holds the top or most senior rank relative to a set of other entities.
-
C.
peakReputation
chosen
Indicates the highest level of reputation an entity has ever attained within a given context or system.
-
D.
hasAwardReputation
Indicates that an entity is recognized or reputed for having received a particular award or set of awards.
-
E.
representsRank
Indicates that one entity serves as the rank, status, or hierarchical level assigned to another entity.
- 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.