Triple
T34882466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Dave Osborne |
E1006051
|
entity |
| Predicate | hasSiblingInRealLife |
P195252
|
FINISHED |
| Object | Albert Brooks |
—
|
NE NERFINISHED |
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: Albert Brooks | Statement: [Super Dave Osborne, hasSiblingInRealLife, Albert Brooks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSiblingInRealLife Context triple: [Super Dave Osborne, hasSiblingInRealLife, Albert Brooks]
-
A.
hasSiblingGender
Indicates that one entity has a sibling whose gender is specified or characterized by the other entity.
-
B.
hasSiblingPersona
Indicates that one entity has another entity as a sibling persona, representing an alternate or parallel version of the same underlying identity.
-
C.
hasSister
Indicates that one entity is the sister of another entity.
-
D.
hasHalfSibling
Indicates that two individuals share exactly one biological parent in common, making them half-siblings.
-
E.
hasSisterRelationshipType
Indicates that there exists a sister-type familial relationship between the related entities.
- 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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
| PDg | Predicate description generation | batch_69fdb3172b808190b590d7c5be31ebb7 |
completed | May 8, 2026, 9:55 a.m. |
Created at: May 3, 2026, 4 p.m.