Triple
T20190721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blathers |
E492970
|
entity |
| Predicate | relationToCeleste |
P38921
|
FINISHED |
| Object | older brother |
—
|
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: older brother | Statement: [Blathers, relationToCeleste, older brother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToCeleste Context triple: [Blathers, relationToCeleste, older brother]
-
A.
relationshipToKlaatu
Indicates the specific familial, social, or professional relationship that one entity has to the entity named Klaatu.
-
B.
relationToVonMaur
Indicates a specified type of relationship or association that an entity has with Von Maur.
-
C.
relationshipToCharacter
chosen
Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
-
D.
relationshipToTristan
Indicates the specific type of personal, social, or familial connection that one entity has with the individual named Tristan.
-
E.
relationshipToTopa
Indicates a familial or social relationship that an entity has specifically with Topa.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad4d7a88190b70dfb74a2daafba |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:37 p.m.