Triple
T37876713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valentine Wiggin |
E944744
|
entity |
| Predicate | birthOrderRelativeToEnder |
P147361
|
FINISHED |
| Object | older 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: older sister | Statement: [Valentine Wiggin, birthOrderRelativeToEnder, older sister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: birthOrderRelativeToEnder Context triple: [Valentine Wiggin, birthOrderRelativeToEnder, older 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.
positionInLineOfSuccessionAtBirth
Indicates the ordinal place an individual held in a defined line of succession at the moment of their birth.
-
C.
orderOfBirth
chosen
Indicates the relative sequence in which entities are born, specifying who is earlier or later in birth order.
-
D.
relativeByBirth
Indicates that two entities are related to each other through a biological family connection established by birth.
-
E.
chronologicalPositionInFamilySaga
Indicates the relative order in which an event, episode, or member appears within the timeline of a family saga.
- 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_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.