Triple
T28666035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Losers' Club (It film series) |
E725588
|
entity |
| Predicate | portrayedAsChildrenBy |
P97663
|
FINISHED |
| Object | Jaeden Martell |
—
|
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: Jaeden Martell | Statement: [Losers' Club (It film series), portrayedAsChildrenBy, Jaeden Martell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedAsChildrenBy Context triple: [Losers' Club (It film series), portrayedAsChildrenBy, Jaeden Martell]
-
A.
portrayedAsAdultBy
Indicates that one entity is depicted or represented as an adult by another entity (such as an artist, author, or creator).
-
B.
playedByChildActor
chosen
Indicates that a role or character is portrayed by an actor who is a child at the time of performance.
-
C.
childProtagonistPortrayedBy
Indicates that the protagonist, who is a child, is portrayed or played by a specific actor or performer.
-
D.
youngerVersionPortrayedBy
Indicates that one person portrays a younger version of another person, typically in a film, television show, or similar narrative work.
-
E.
portraysYoungerVersionOfCharacterFrom
Indicates that one character is depicted as a younger version of another character from a specified source.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 28, 2026, 5:01 a.m.