Triple
T37876714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valentine Wiggin |
E944744
|
entity |
| Predicate | birthOrderRelativeToPeter |
P138294
|
FINISHED |
| Object | younger 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 sister | Statement: [Valentine Wiggin, birthOrderRelativeToPeter, younger sister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: birthOrderRelativeToPeter Context triple: [Valentine Wiggin, birthOrderRelativeToPeter, younger sister]
-
A.
positionInFamilyBirthOrder
Indicates the relative order in which a person was born within their family (e.g., first-born, middle child, last-born).
-
B.
relationshipToPeter
chosen
Indicates the specific type of relationship or connection that an entity has to Peter.
-
C.
relationshipToPete
Indicates the specific type of relationship or connection that an entity has to Pete.
-
D.
isOlderBrotherOf
Indicates that one male sibling is older than and brother to another person.
-
E.
birthOrderAmongSonsOfJacobByMother
Indicates the relative birth position of a son among Jacob’s sons born to the same mother.
- 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.