Triple
T35943759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berenice Sadie Brown |
E1039528
|
entity |
| Predicate | isHousekeeperFor |
P184256
|
FINISHED |
| Object | Frankie Addams' family |
—
|
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: Frankie Addams' family | Statement: [Berenice Sadie Brown, isHousekeeperFor, Frankie Addams' family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHousekeeperFor Context triple: [Berenice Sadie Brown, isHousekeeperFor, Frankie Addams' family]
-
A.
isForService
Indicates that something is intended, designated, or used to provide a particular service or function for someone or something.
-
B.
hasKeeperHouse
Indicates that an entity is associated with or assigned to a specific keeper’s house or residence.
-
C.
isInHouse
Indicates that one entity is located inside or within the boundaries of a house relative to another entity or context.
-
D.
isKindTo
Indicates treating another entity with consideration, compassion, or benevolent behavior.
-
E.
isHouseholdOf
Indicates that one entity functions as the household to which another entity belongs or is associated.
- 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_69f76e24bbd0819096b837d35371639a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7ac2210e481909279dade5328825c |
completed | May 3, 2026, 8:12 p.m. |
Created at: May 3, 2026, 4:07 p.m.