Triple
T36972623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John McDonnell |
E914609
|
entity |
| Predicate | servedInShadowCabinetOf |
P202161
|
FINISHED |
| Object | Jeremy Corbyn |
—
|
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: Jeremy Corbyn | Statement: [John McDonnell, servedInShadowCabinetOf, Jeremy Corbyn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedInShadowCabinetOf Context triple: [John McDonnell, servedInShadowCabinetOf, Jeremy Corbyn]
-
A.
servedInCabinetOf
Indicates that one person held a position as a member of the governmental cabinet led by another person.
-
B.
hasShadowCabinet
Indicates that one political entity serves as the official opposition group that mirrors and scrutinizes the cabinet of another political entity.
-
C.
servedInParliament
Indicates that a person has held a position as a member of a parliamentary body during some period of time.
-
D.
servedInGovernmentWith
Indicates that two individuals held positions in the same government or administration during an overlapping period of time.
-
E.
servedUnderPrimeMinister
Indicates that one person held a governmental or official position subordinate to, and during the tenure of, a particular prime minister.
- 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a005b2e0a9c819081c6f7ccbef49ff8 |
completed | May 10, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_6a005a8bcde88190ace2bc0215e26430 |
completed | May 10, 2026, 10:14 a.m. |
| PDg | Predicate description generation | batch_6a005b2cdbc881908b433623e3252df5 |
completed | May 10, 2026, 10:17 a.m. |
Created at: May 3, 2026, 4:14 p.m.