Triple
T28566661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missy Cooper |
E722697
|
entity |
| Predicate | birthOrderRelativeToSheldon |
P20593
|
FINISHED |
| Object | younger twin sister |
—
|
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 twin sister | Statement: [Missy Cooper, birthOrderRelativeToSheldon, younger twin sister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: birthOrderRelativeToSheldon Context triple: [Missy Cooper, birthOrderRelativeToSheldon, younger twin sister]
-
A.
positionInFamilyBirthOrder
chosen
Indicates the relative order in which a person was born within their family (e.g., first-born, middle child, last-born).
-
B.
relationshipToBelcherChildren
Indicates the specific familial or caretaking relationship an entity has to the Belcher children.
-
C.
relationToStephenI
Indicates a familial or social relationship that an entity has specifically with Stephen I.
-
D.
chronologicalPositionInFamilySaga
Indicates the relative order in which an event, episode, or member appears within the timeline of a family saga.
-
E.
youngestBrotherRank
Indicates the ordinal position or rank of an entity among its youngest brothers within a family or sibling group.
- 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_69f01a5f69d08190ad5c0d2167078dec |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:07 a.m.