Triple
T25266185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serita Stewart |
E633435
|
entity |
| Predicate | relativeTypeToBobMarley |
P181293
|
FINISHED |
| Object | stepdaughter |
—
|
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: stepdaughter | Statement: [Serita Stewart, relativeTypeToBobMarley, stepdaughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeTypeToBobMarley Context triple: [Serita Stewart, relativeTypeToBobMarley, stepdaughter]
-
A.
relativeTypeToElvisPresley
Indicates the specific family relationship that one entity has to Elvis Presley.
-
B.
relativeTypeToVernonPresley
Indicates the specific family relationship that an entity has to Vernon Presley.
-
C.
relationshipToJamesBrown
Indicates the type of personal, professional, or familial relationship that an entity has with James Brown.
-
D.
relativeTypeToJohannSebastianBach
Indicates a familial relationship that a person has to Johann Sebastian Bach (e.g., parent, child, sibling, spouse, or other relative).
-
E.
hasRapAlterEgoOf
Indicates that one entity is the rap-stage persona or alter ego used by another entity.
- 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_69e75a92f48881909974ff9c11150a2e |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
| PDg | Predicate description generation | batch_69f7688cea58819098bdfd7c80df7634 |
completed | May 3, 2026, 3:23 p.m. |
Created at: April 21, 2026, 1:16 p.m.