Triple
T18352384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ycidra "Cee" Money |
E439699
|
entity |
| Predicate | relationshipToFrankMoney |
P131477
|
FINISHED |
| Object | beloved 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: beloved younger sister | Statement: [Ycidra "Cee" Money, relationshipToFrankMoney, beloved younger sister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToFrankMoney Context triple: [Ycidra "Cee" Money, relationshipToFrankMoney, beloved younger sister]
-
A.
financialRelationshipWith
Indicates a financial connection or association between entities, such as ownership, investment, funding, or other monetary ties.
-
B.
relationshipToFriends
Indicates the type or nature of the relationship an entity has with its friends.
-
C.
relationshipStatusWithFrankTregear
Indicates the type or state of a person's relationship with Frank Tregear.
-
D.
foreignRecipient
Indicates that something is received by an entity located in or belonging to a different country or jurisdiction than the source.
-
E.
relationshipToTheDude
Indicates the specific type of personal or social relationship that one entity has to the individual referred to as "the Dude."
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f8f07c8190a1506d4a327369d0 |
completed | April 19, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e4561d665081908ec555344e76d82b |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 10:37 a.m.