Triple
T23993320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT Margaret MacVicar Faculty Fellowship |
E605124
|
entity |
| Predicate | fellowshipHolders |
P51390
|
FINISHED |
| Object | MIT faculty |
—
|
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: MIT faculty | Statement: [MIT Margaret MacVicar Faculty Fellowship, fellowshipHolders, MIT faculty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fellowshipHolders Context triple: [MIT Margaret MacVicar Faculty Fellowship, fellowshipHolders, MIT faculty]
-
A.
grantsAwardedTo
Indicates that an award or grant is given by one entity to another as a recipient.
-
B.
electedFellowOf
chosen
Indicates that an individual has been formally chosen and granted the status of fellow by a particular organization or institution.
-
C.
hasNobelLaureatesAffiliated
Indicates that one entity has Nobel Prize laureates formally associated or connected with it (e.g., as members, staff, or alumni).
-
D.
NobelPrizeCoLaureate
Indicates that two or more individuals share the same Nobel Prize as co-recipients for a particular award and year.
-
E.
involvedScientist
Indicates that a scientist participated in, contributed to, or was otherwise actively involved with a specified project, study, or activity.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38ce7fc8190a488991b6f61416b |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:37 p.m.