Triple
T30697136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christa B. Allen |
E781501
|
entity |
| Predicate | playedYoungerVersionOf |
P39940
|
FINISHED |
| Object | Jennifer Garner’s character in 13 Going on 30 |
—
|
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: Jennifer Garner’s character in 13 Going on 30 | Statement: [Christa B. Allen, playedYoungerVersionOf, Jennifer Garner’s character in 13 Going on 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedYoungerVersionOf Context triple: [Christa B. Allen, playedYoungerVersionOf, Jennifer Garner’s character in 13 Going on 30]
-
A.
portraysYoungerVersionOfCharacterFrom
Indicates that one character is depicted as a younger version of another character from a specified source.
-
B.
youngerVersionPortrayedBy
chosen
Indicates that one person portrays a younger version of another person, typically in a film, television show, or similar narrative work.
-
C.
playedEarlyYearsOf
Indicates that one entity portrayed or acted as the younger/early-life version of another entity in a performance or production.
-
D.
playedByChildActor
Indicates that a role or character is portrayed by an actor who is a child at the time of performance.
-
E.
playsVariantOf
Indicates that one entity performs, uses, or engages with a version or adaptation of another entity, typically differing in form, rules, or style from the original.
- 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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 29, 2026, 8:34 p.m.