Triple
T35015414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farmworld timeline |
E1010039
|
entity |
| Predicate | hasProtagonistVersionOf |
P8706
|
FINISHED |
| Object | Finn the Human |
E309301
|
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: Finn the Human | Statement: [Farmworld timeline, hasProtagonistVersionOf, Finn the Human]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtagonistVersionOf Context triple: [Farmworld timeline, hasProtagonistVersionOf, Finn the Human]
-
A.
hasProtagonistInFirstVolume
Indicates that a work’s first volume features a specific entity as its main character.
-
B.
hasProtagonist
chosen
Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
-
C.
filmCharacterVersionOf
Indicates that one character is a specific film adaptation or portrayal of another character originating from a different version or medium.
-
D.
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.
-
E.
isVersionOf
Indicates that one entity is a particular version, edition, or variant derived from another entity.
- 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_6a0352b6c7dc81908f190060eb1e1857 |
completed | May 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a380f8f0a00819086e56fab0884a657 |
completed | June 21, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_6a03507c37d4819091068b2ec5cacef9 |
completed | May 12, 2026, 4:08 p.m. |
Created at: May 3, 2026, 4:01 p.m.