Triple
T19516170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cow and Chicken |
E488282
|
entity |
| Predicate | hasParentCharacters |
P39073
|
FINISHED |
| Object | Mom |
—
|
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: Mom | Statement: [Cow and Chicken, hasParentCharacters, Mom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParentCharacters Context triple: [Cow and Chicken, hasParentCharacters, Mom]
-
A.
hasParentCharacter
chosen
Indicates that one character is the parent of another character.
-
B.
hasCharacters
Indicates that an entity (such as a work or story) includes or features certain characters as part of its content.
-
C.
hasHumanCharacters
Indicates that the subject includes or features characters that are human beings.
-
D.
hasSiblingCharacters
Indicates that two characters share at least one common parent, making them siblings in the narrative or data context.
-
E.
hasChildCharacters
Indicates that one entity includes or is associated with other entities that are considered its child characters in a hierarchical or narrative structure.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359b90f08190b38359dc9e97e11c |
completed | April 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.