Triple
T1795953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy of Television Arts & Sciences |
E39602
|
entity |
| Predicate | categoryOfMembers |
P4027
|
FINISHED |
| Object | television professionals |
—
|
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: television professionals | Statement: [Academy of Television Arts & Sciences, categoryOfMembers, television professionals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryOfMembers Context triple: [Academy of Television Arts & Sciences, categoryOfMembers, television professionals]
-
A.
memberCategory
chosen
Indicates that an entity belongs to or is classified under a specific category or group.
-
B.
styleOfMembers
Indicates that one entity specifies or characterizes the stylistic attributes or manner of presentation associated with the members of another entity.
-
C.
clubMembershipType
Indicates the specific category or level of membership that an entity holds within a club.
-
D.
membershipIn
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
E.
clubMembership
Indicates that an entity belongs to, is enrolled in, or holds membership status within a particular club.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab61b6ea188190aab9fb839bf1e367 |
completed | March 6, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69aa61d2f7a8819090301f92d3e358c7 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.