Triple
T35557871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marshall Lee |
E1027549
|
entity |
| Predicate | counterpartInLandOfOoo |
P6587
|
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: [Marshall Lee, counterpartInLandOfOoo, Marceline the Vampire Queen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: counterpartInLandOfOoo Context triple: [Marshall Lee, counterpartInLandOfOoo, Marceline the Vampire Queen]
-
A.
counterpartPortrayedBy
Indicates that one entity serves as the acting or visual representation (such as an actor, avatar, or stand-in) of another entity in a given context.
-
B.
counterpartService
Indicates that one service functions as the corresponding or matching service to another within a defined relationship or context.
-
C.
hasCounterpart
chosen
Indicates that one entity corresponds to, matches, or serves as an equivalent or parallel version of another entity.
-
D.
counterpartLocatedAt
Indicates that one entity serves as the corresponding or matching counterpart of another entity at a specific location or site.
-
E.
counterpartRelation
Indicates a reciprocal relationship where two entities serve as corresponding or equivalent counterparts to each other in a given context.
- 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_69f76e014fd481909e9f04ac603a2aa9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a01d9ca07b88190b4ad70b6336447b6 |
completed | May 11, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39dbb359fc8190a88dbd1cf0cc0bd7 |
completed | June 23, 2026, 1:04 a.m. |
| PD | Predicate disambiguation | batch_6a01d807c3048190b79f0b6b933dd3b7 |
completed | May 11, 2026, 1:22 p.m. |
Created at: May 3, 2026, 4:04 p.m.