Triple
T33184829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Mathews |
E849436
|
entity |
| Predicate | portrayedChildOfFictionalCharacters |
P121316
|
FINISHED |
| Object | Rob Petrie |
—
|
NE NERFINISHED |
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: Rob Petrie | Statement: [Larry Mathews, portrayedChildOfFictionalCharacters, Rob Petrie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedChildOfFictionalCharacters Context triple: [Larry Mathews, portrayedChildOfFictionalCharacters, Rob Petrie]
-
A.
childProtagonistPortrayedBy
Indicates that the protagonist, who is a child, is portrayed or played by a specific actor or performer.
-
B.
appearsAsChildOfMainCharacters
Indicates that an entity is depicted or presented as the child of the story’s main characters.
-
C.
portrayedFictionalVersionOf
Indicates that one entity depicted or acted as a fictionalized or altered version of another entity.
-
D.
childOfCharacter
chosen
Indicates that one character is the offspring (biological, adopted, or otherwise recognized child) of another character.
-
E.
attendedByFictionalCharacter
Indicates that a fictional character is present at, participates in, or is an attendee of a particular event or gathering.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fea2d0a4d08190aa06aeb902a02d5a |
completed | May 9, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fea24698348190b9b992a8e7cdbcd0 |
completed | May 9, 2026, 2:56 a.m. |
Created at: May 1, 2026, 1:29 a.m.