Triple
T266377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Board of Trustees of the Art Institute of Chicago |
E5737
|
entity |
| Predicate | hasOfficerRole |
P4012
|
FINISHED |
| Object | chair |
—
|
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: chair | Statement: [Board of Trustees of the Art Institute of Chicago, hasOfficerRole, chair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficerRole Context triple: [Board of Trustees of the Art Institute of Chicago, hasOfficerRole, chair]
-
A.
isOfficerOf
chosen
Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
-
B.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
-
C.
isCivilianOffice
Indicates that an office or position is non-military and belongs to the civilian sphere of authority or administration.
-
D.
hasChiefExecutiveRole
Indicates that an entity holds the highest executive leadership position and overall managerial authority within an organization.
-
E.
officeHolderMayBe
Indicates that a specified person is permitted or eligible to hold a particular office or position.
- 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25d90bab48190b3ef97a451653b7f |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b6f60b081908fc6467800a8849e |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.