Triple
T35016954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon & Marcy |
E1010078
|
entity |
| Predicate | featuresYoungerVersionOf |
P183474
|
FINISHED |
| Object | Marceline the Vampire Queen |
E309304
|
NE 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: Marceline the Vampire Queen | Statement: [Simon & Marcy, featuresYoungerVersionOf, Marceline the Vampire Queen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresYoungerVersionOf Context triple: [Simon & Marcy, featuresYoungerVersionOf, Marceline the Vampire Queen]
-
A.
youngerVersionPortrayedBy
Indicates that one person portrays a younger version of another person, typically in a film, television show, or similar narrative work.
-
B.
portraysYoungerVersionOfCharacterFrom
Indicates that one character is depicted as a younger version of another character from a specified source.
-
C.
isYouthEquivalentOf
Indicates that one entity is the youth or junior counterpart of another, typically representing a younger or age-specific version of the same role, group, or category.
-
D.
featuresEarlyVersionOf
chosen
Indicates that something includes or presents an earlier or preliminary version of another thing.
-
E.
youngerIncarnationOf
Indicates that one entity is a later, younger version or incarnation of another entity, representing the same underlying individual or character at a younger point in time.
- F. None of above.
Provenance (4 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3852d0833c819083a8eb4d30c5bd59 |
completed | June 21, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.