Triple
T18641027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book and Snake |
E455683
|
entity |
| Predicate | memberRank |
P47925
|
FINISHED |
| Object | senior class |
—
|
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: senior class | Statement: [Book and Snake, memberRank, senior class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberRank Context triple: [Book and Snake, memberRank, senior class]
-
A.
rankingMember
Indicates that one entity is the highest-ranking or most senior member within a particular group, committee, or organization relative to the others.
-
B.
admitsMemberRank
Indicates that an organization or group accepts individuals holding a specified rank or status as eligible members.
-
C.
membershipStatus
Indicates the current state or level of an entity’s participation or affiliation within a group, organization, or program.
-
D.
memberCategory
Indicates that an entity belongs to or is classified under a specific category or group.
-
E.
isRank
chosen
Indicates that one entity serves as the rank, level, or hierarchical position associated with 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fccafec8190a340356d5bbd3cdf |
completed | April 19, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69e478d4a7948190a4bb9223bb5dddfc |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:47 a.m.