Triple
T31905631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcus McStuffins |
E814542
|
entity |
| Predicate | ageRelativeToDocMcStuffins |
P172720
|
FINISHED |
| Object | younger 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: younger brother | Statement: [Marcus McStuffins, ageRelativeToDocMcStuffins, younger brother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageRelativeToDocMcStuffins Context triple: [Marcus McStuffins, ageRelativeToDocMcStuffins, younger brother]
-
A.
approximateStartAge
Indicates the estimated or roughly determined age at which an event, condition, or state begins.
-
B.
typicalAge
Indicates the usual or characteristic age associated with an entity, event, or condition.
-
C.
ageInToyStory2
Indicates the age an entity has within the context or timeline of the movie "Toy Story 2."
-
D.
puppetHeight
Indicates the height measurement associated with a puppet in the relationship.
-
E.
childInStory
Indicates that one entity is a child character who appears within the narrative context of the other entity (a story).
- F. None of above. chosen
Provenance (4 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_69f348f04d7881909537fc9e7cbc670e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b1b3713c819082b01fdeb7535d44 |
completed | May 3, 2026, 2:23 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6af7d92008190aead47eaae8cc091 |
completed | May 3, 2026, 2:14 a.m. |
Created at: May 1, 2026, midnight