Triple
T14308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwarzman College of Computing |
E286
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SCC
SCC is the commonly used abbreviation for the MIT Schwarzman College of Computing, an interdisciplinary hub for computing and AI research and education.
|
E1521
|
NE FINISHED |
How this triple was built (4 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: SCC | Statement: [Schwarzman College of Computing, shortName, SCC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SCC Context triple: [Schwarzman College of Computing, shortName, SCC]
-
A.
SHASS
SHASS is the abbreviated name commonly used for the School of Humanities, Arts, and Social Sciences at academic institutions.
-
B.
.cl
.cl is the country code top-level domain (ccTLD) assigned to Chile for use on the internet.
-
C.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
D.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
E.
Sununu
Sununu is a prominent American political family name most notably associated with former New Hampshire Governor and White House Chief of Staff John H. Sununu and his son, Governor Chris Sununu.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SCC Triple: [Schwarzman College of Computing, shortName, SCC]
Generated description
SCC is the commonly used abbreviation for the MIT Schwarzman College of Computing, an interdisciplinary hub for computing and AI research and education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SCC Target entity description: SCC is the commonly used abbreviation for the MIT Schwarzman College of Computing, an interdisciplinary hub for computing and AI research and education.
-
A.
SHASS
SHASS is the abbreviated name commonly used for the School of Humanities, Arts, and Social Sciences at academic institutions.
-
B.
.cl
.cl is the country code top-level domain (ccTLD) assigned to Chile for use on the internet.
-
C.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
D.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
E.
Sununu
Sununu is a prominent American political family name most notably associated with former New Hampshire Governor and White House Chief of Staff John H. Sununu and his son, Governor Chris Sununu.
- F. None of above. chosen
Provenance (5 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a240014418819090625e2fb774a2e6 |
completed | Feb. 28, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a248e572f08190b52158e063a066bf |
completed | Feb. 28, 2026, 1:46 a.m. |
| NEDg | Description generation | batch_69a2497d04248190a0a9037f79a932ef |
completed | Feb. 28, 2026, 1:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a249dbe1108190a2a844ba4e570fea |
completed | Feb. 28, 2026, 1:50 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.