Triple
T35511040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Railroad (Fallout 4) |
E1026285
|
entity |
| Predicate | preWarFounder |
P183384
|
FINISHED |
| Object | Barbara Ryczek |
—
|
NE NERFINISHED |
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: Barbara Ryczek | Statement: [Railroad (Fallout 4), preWarFounder, Barbara Ryczek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preWarFounder Context triple: [Railroad (Fallout 4), preWarFounder, Barbara Ryczek]
-
A.
preWarName
Indicates the name an entity had before a war or major conflict occurred.
-
B.
founderOfPredecessor
Indicates that an entity is the founder of another entity that served as a predecessor to a specified organization or institution.
-
C.
preWarCharacter
Indicates that a character existed or had a particular state or role prior to a specified war or conflict.
-
D.
preWarOperator
Indicates that an entity functioned as an operator or managing party responsible for something (e.g., a facility, service, or asset) during the period before a specified war.
-
E.
preWarCountry
Indicates that a country existed or held a particular status prior to a specified war or major armed conflict.
- F. None of above. chosen
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_69f76dfd61208190b93ec6dc439cab41 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f7340e4819092a1a47f7028e63f |
completed | May 3, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79ec14ce08190b22cee0b40d33743 |
completed | May 3, 2026, 7:15 p.m. |
Created at: May 3, 2026, 4:04 p.m.