Triple
T19651348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T206 Honus Wagner baseball card |
E471821
|
entity |
| Predicate | frequentlyGradedBy |
P62055
|
FINISHED |
| Object |
SGC
SGC is a prominent sports card grading company known for professionally authenticating and assigning condition grades to trading cards, including high-profile vintage issues.
|
E1388772
|
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: SGC | Statement: [T206 Honus Wagner baseball card, frequentlyGradedBy, SGC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SGC Context triple: [T206 Honus Wagner baseball card, frequentlyGradedBy, SGC]
-
A.
SGC
SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
-
B.
SGC
SGC is the IATA airport code for Surgut International Airport in Russia.
-
C.
SCG
SCG is the stock ticker symbol for Scentre Group, an Australian real estate investment trust that owns and operates Westfield-branded shopping centres across Australia and New Zealand.
-
D.
SCGZ
SCGZ is the ICAO airport code for Guardiamarina Zañartu Airport, a small airfield serving Puerto Williams in southern Chile.
-
E.
SGO
SGO is the professional medical society dedicated to advancing the prevention, research, and treatment of gynecologic cancers.
- 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: SGC Triple: [T206 Honus Wagner baseball card, frequentlyGradedBy, SGC]
Generated description
SGC is a prominent sports card grading company known for professionally authenticating and assigning condition grades to trading cards, including high-profile vintage issues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SGC Target entity description: SGC is a prominent sports card grading company known for professionally authenticating and assigning condition grades to trading cards, including high-profile vintage issues.
-
A.
SGC
SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
-
B.
SGC
SGC is the IATA airport code for Surgut International Airport in Russia.
-
C.
SCG
SCG is the stock ticker symbol for Scentre Group, an Australian real estate investment trust that owns and operates Westfield-branded shopping centres across Australia and New Zealand.
-
D.
SCGZ
SCGZ is the ICAO airport code for Guardiamarina Zañartu Airport, a small airfield serving Puerto Williams in southern Chile.
-
E.
SGO
SGO is the professional medical society dedicated to advancing the prevention, research, and treatment of gynecologic cancers.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64141f61c819098fe148581fb1747 |
completed | April 20, 2026, 3:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a077eef87108190a3858836dce29341 |
completed | May 15, 2026, 8:15 p.m. |
| NEDg | Description generation | batch_6a077fb5d7288190a691e312ec22789b |
completed | May 15, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07810b1de88190a2516712767fde52 |
completed | May 15, 2026, 8:24 p.m. |
Created at: April 10, 2026, 1:44 p.m.