Triple
T679769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvard Kennedy School |
E13155
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | HKS |
E13155
|
NE 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: HKS | Statement: [Harvard Kennedy School, shortName, HKS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HKS Context triple: [Harvard Kennedy School, shortName, HKS]
-
A.
HKS
chosen
HKS is the Harvard Kennedy School, a leading public policy and public administration graduate school at Harvard University.
-
B.
HKS, Inc.
HKS, Inc. is a global architecture firm known for designing major sports, entertainment, and commercial venues.
-
C.
HOK Group
HOK Group is a global design, architecture, engineering, and planning firm known for large-scale commercial, civic, and sports projects.
-
D.
RTKL Associates Inc.
RTKL Associates Inc. is a global architecture and design firm known for large-scale civic, commercial, and mixed-use projects.
-
E.
Skidmore, Owings & Merrill
Skidmore, Owings & Merrill is a prominent American architecture and engineering firm renowned for designing major modernist and high-rise buildings worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a04f4efc819082767a7517fa760a |
completed | March 1, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c3a38b188190802394a35c83b10b |
completed | March 2, 2026, 5:06 p.m. |
Created at: March 1, 2026, 7:36 p.m.