Triple
T14708954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Diego Comic-Con |
E345496
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SDCC
SDCC is a major annual pop culture convention in San Diego known for showcasing comics, movies, TV, gaming, and related entertainment.
|
E1115967
|
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: SDCC | Statement: [San Diego Comic-Con, shortName, SDCC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SDCC Context triple: [San Diego Comic-Con, shortName, SDCC]
-
A.
CSDC
CSDC is a research center based at McGill University that focuses on the study and advancement of democratic citizenship and political participation.
-
B.
SCC
SCC is the commonly used abbreviation for the MIT Schwarzman College of Computing, an interdisciplinary hub for computing and AI research and education.
-
C.
SCC
SCC is the three-letter IATA airport code for Deadhorse Airport, which serves the Prudhoe Bay oil fields in northern Alaska.
-
D.
SCC
SCC is the commonly used abbreviation for the Supreme Court of Canada, the country's highest judicial authority.
-
E.
SCC
SCC is an abbreviation that can refer to various organizations, concepts, or terms depending on the context, such as educational institutions, technical concepts, or committees.
- 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: SDCC Triple: [San Diego Comic-Con, shortName, SDCC]
Generated description
SDCC is a major annual pop culture convention in San Diego known for showcasing comics, movies, TV, gaming, and related entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SDCC Target entity description: SDCC is a major annual pop culture convention in San Diego known for showcasing comics, movies, TV, gaming, and related entertainment.
-
A.
CSDC
CSDC is a research center based at McGill University that focuses on the study and advancement of democratic citizenship and political participation.
-
B.
SCC
SCC is the commonly used abbreviation for the MIT Schwarzman College of Computing, an interdisciplinary hub for computing and AI research and education.
-
C.
SCC
SCC is an abbreviation that can refer to various organizations, concepts, or terms depending on the context, such as educational institutions, technical concepts, or committees.
-
D.
SCC
SCC is the three-letter IATA airport code for Deadhorse Airport, which serves the Prudhoe Bay oil fields in northern Alaska.
-
E.
SCC
SCC is the commonly used abbreviation for the Supreme Court of Canada, the country's highest judicial authority.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb609965081908f654bcb9eaaa145 |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf08a81948190ab903e5b8bfb0c81 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf396b65c819088e2f350364fbfae |
completed | May 8, 2026, 2:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf421390481909cb43aec3ef18d53 |
completed | May 8, 2026, 2:33 p.m. |
Created at: April 10, 2026, 1:28 a.m.