Triple
T30604337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoey Johnson |
E778997
|
entity |
| Predicate | parentOfCharacterType |
P39073
|
FINISHED |
| Object | Johnson family child |
—
|
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: Johnson family child | Statement: [Zoey Johnson, parentOfCharacterType, Johnson family child]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentOfCharacterType Context triple: [Zoey Johnson, parentOfCharacterType, Johnson family child]
-
A.
hasParentCharacter
chosen
Indicates that one character is the parent of another character.
-
B.
parentType
Indicates that one entity serves as the direct parent or higher-level type from which another entity is derived or classified.
-
C.
childOfCharacter
Indicates that one character is the offspring (biological, adopted, or otherwise recognized child) of another character.
-
D.
relatedCharacterType
Indicates that one character has a specified type of relationship or role in connection to another character.
-
E.
typeOfCharacter
Indicates that one entity is a specific kind or category of character in relation to another entity.
- 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: April 29, 2026, 8:25 p.m.