Triple
T35647396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Ford |
E1030046
|
entity |
| Predicate | laterAppearsAs |
P141307
|
FINISHED |
| Object | digital recreation |
—
|
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: digital recreation | Statement: [Robert Ford, laterAppearsAs, digital recreation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterAppearsAs Context triple: [Robert Ford, laterAppearsAs, digital recreation]
-
A.
laterAppearancesIn
Indicates that one entity makes additional or subsequent appearances in relation to another entity after an initial occurrence.
-
B.
alsoAppearsAs
Indicates that an entity is known or presented under an alternative name, form, or representation.
-
C.
laterPortrayedAs
chosen
Indicates that an entity is subsequently depicted or represented as another character, role, or form in a later work or context.
-
D.
appearsAgainst
Indicates that one entity is visually or publicly presented in opposition to, or in contrast with, another entity.
-
E.
appearsWithCharacter
Indicates that two characters are shown or present together within the same scene, shot, or context.
- 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_69f76e0938088190a8f199631e97dec3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a007241df8081909dbad651fda82aa7 |
completed | May 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_6a0071e77ed081908cd618da8977d878 |
completed | May 10, 2026, 11:54 a.m. |
Created at: May 3, 2026, 4:05 p.m.