Triple
T16453362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cohen Group |
E399609
|
entity |
| Predicate | hasFormerGovernmentOfficials |
P112779
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Cohen Group, hasFormerGovernmentOfficials, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerGovernmentOfficials Context triple: [The Cohen Group, hasFormerGovernmentOfficials, true]
-
A.
servedInGovernmentWith
Indicates that two individuals held positions in the same government or administration during an overlapping period of time.
-
B.
hasLeaderInGovernment
Indicates that one entity serves as the leader or head of government for another entity.
-
C.
hasMemberWhoHeldOffice
chosen
Indicates that a group or organization includes at least one member who has held a specified office or position.
-
D.
hasBeenInGovernmentUntil
Indicates that an entity held a government position continuously up to a specified end time or date.
-
E.
hadMinisterialPost
Indicates that an entity has held or occupied a ministerial government position or office.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ce259d88190803930051409d72c |
completed | April 18, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69e227048d608190a4205eae3117629a |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.