Triple
T16994503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tina "Teeny" Tercell |
E412278
|
entity |
| Predicate | isMemberOfGroup |
P12263
|
FINISHED |
| Object | four central childhood friends in Now and Then |
—
|
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: four central childhood friends in Now and Then | Statement: [Tina "Teeny" Tercell, isMemberOfGroup, four central childhood friends in Now and Then]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMemberOfGroup Context triple: [Tina "Teeny" Tercell, isMemberOfGroup, four central childhood friends in Now and Then]
-
A.
memberOfGroupWith
Indicates that an entity belongs to, or is associated as a member with, a particular group or collection of entities.
-
B.
belongsToGroup
chosen
Indicates that an entity is a member of, or is included within, a particular group or collection.
-
C.
hasUserGroup
Indicates that a user is associated with, belongs to, or is a member of a specific user group.
-
D.
identifiesGroup
Indicates that one entity serves to recognize, label, or distinguish another entity as belonging to a particular group or category.
-
E.
membershipIn
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d285f35881908c32b2f27ba7f0ac |
completed | April 18, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.