Triple
T353442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles M. Vest |
E7491
|
entity |
| Predicate | positionForInterval |
P8810
|
FINISHED |
| Object | President of the Massachusetts Institute of Technology |
—
|
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: President of the Massachusetts Institute of Technology | Statement: [Charles M. Vest, positionForInterval, President of the Massachusetts Institute of Technology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionForInterval Context triple: [Charles M. Vest, positionForInterval, President of the Massachusetts Institute of Technology]
-
A.
positionInBand
Indicates the specific role or place an individual holds within a musical band.
-
B.
positionInTimeScale
chosen
Indicates the specific point or interval an event or state occupies within a defined temporal scale or timeline.
-
C.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
D.
isPositionOf
Indicates that one entity represents the spatial or organizational position or location of another entity.
-
E.
positionB
Indicates that one entity occupies or is located at a specific position relative to another entity.
- 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb80f524819093f4c2c18c3d615f |
completed | Feb. 28, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69a2e9571bd88190b6fcb16f21604720 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.