Triple
T35426891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Rock |
E1023944
|
entity |
| Predicate | employedByDuringEvent |
P180904
|
FINISHED |
| Object | Government Code and Cypher School during World War II |
—
|
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: Government Code and Cypher School during World War II | Statement: [Margaret Rock, employedByDuringEvent, Government Code and Cypher School during World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employedByDuringEvent Context triple: [Margaret Rock, employedByDuringEvent, Government Code and Cypher School during World War II]
-
A.
workedAtEvent
Indicates that an entity performed work or provided services at a specific event.
-
B.
employedAtTime
Indicates that an employment relationship holds during a specified time or time interval.
-
C.
employerDuringUse
chosen
Indicates that one entity is the employer of another entity for the duration of a specified use, activity, or period.
-
D.
employedTo
Indicates that one entity is hired or engaged to perform work, services, or duties for another entity.
-
E.
employedThrough
Indicates that an entity holds a job or work position by means of, or via the arrangement of, another entity (such as an agency, contractor, or intermediary).
- 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_69f76df6704081909900c60be10d5849 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:03 p.m.