Triple
T15996803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benson |
E387987
|
entity |
| Predicate | characterProgression |
P20798
|
FINISHED |
| Object | from butler to higher office roles |
—
|
LITERAL 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: from butler to higher office roles | Statement: [Benson, characterProgression, from butler to higher office roles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterProgression Context triple: [Benson, characterProgression, from butler to higher office roles]
-
A.
characterArc
chosen
Indicates the developmental journey or transformation a character undergoes over the course of a narrative.
-
B.
characterArcElement
Indicates that one element is a component or stage within a character’s overall developmental arc or transformation.
-
C.
developmentCharacter
Indicates a relationship where one entity contributes to or influences the growth, formation, or evolution of another entity’s characteristics or qualities.
-
D.
lifeProgression
Indicates the sequence or advancement of an entity through different stages or phases of its life or development.
-
E.
characterSetting
Indicates that a character is associated with, appears in, or is situated within a particular setting or environment.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4e871c819082d7b1c1eaf5b4fe |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:55 a.m.