Triple
T30943831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BTs |
E788333
|
entity |
| Predicate | characterGroupOf |
P47706
|
FINISHED |
| Object | Mama |
—
|
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: Mama | Statement: [BTs, characterGroupOf, Mama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterGroupOf Context triple: [BTs, characterGroupOf, Mama]
-
A.
hasCharacterGroupName
Indicates that an entity is associated with a specific name identifying a group of characters.
-
B.
associatedWithCharacterGroup
chosen
Indicates that an entity has a connection or affiliation with a particular group of characters.
-
C.
titleCharacterGroup
Indicates that a group of characters is associated with or featured in the title of a work.
-
D.
groupCharacterization
Indicates how a group as a whole is described or characterized in terms of its shared properties, traits, or defining features.
-
E.
letterGroups
Indicates that entities are organized or associated into specific groups based on letters or letter-based criteria.
- 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_69f224c180f88190ad177372ee02b7e2 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe189fec148190aeef51b417ba15b0 |
completed | May 8, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69fe17285b0881908de7569d8dbd20bd |
completed | May 8, 2026, 5:02 p.m. |
Created at: April 29, 2026, 8:53 p.m.