Triple
T2046513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neil Kinnock |
E45463
|
entity |
| Predicate | honorificSuffix |
P341
|
FINISHED |
| Object |
PC
PC is the post-nominal abbreviation for "Privy Counsellor," denoting membership in the United Kingdom's Privy Council.
|
E228166
|
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: PC | Statement: [Neil Kinnock, honorificSuffix, PC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PC Context triple: [Neil Kinnock, honorificSuffix, PC]
-
A.
PC
PC is the common abbreviation for the Peace Corps, a U.S. government volunteer program that sends Americans abroad to support social and economic development.
-
B.
Computer
Computer is a monthly peer-reviewed magazine published by the IEEE Computer Society that covers advances, trends, and research in computing and information technology.
-
C.
Windows PC
A Windows PC is a personal computer running the Microsoft Windows operating system, commonly used for gaming, productivity, and general-purpose computing.
-
D.
IBM PC
The IBM PC is the original 1981 personal computer model from IBM that became a de facto industry standard and helped popularize home and business computing worldwide.
-
E.
Platform
Platform is a competitive program at the Toronto International Film Festival that showcases bold, director-driven international cinema.
- 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: PC Triple: [Neil Kinnock, honorificSuffix, PC]
Generated description
PC is the post-nominal abbreviation for "Privy Counsellor," denoting membership in the United Kingdom's Privy Council.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PC Target entity description: PC is the post-nominal abbreviation for "Privy Counsellor," denoting membership in the United Kingdom's Privy Council.
-
A.
PC
PC is the common abbreviation for the Peace Corps, a U.S. government volunteer program that sends Americans abroad to support social and economic development.
-
B.
Computer
Computer is a monthly peer-reviewed magazine published by the IEEE Computer Society that covers advances, trends, and research in computing and information technology.
-
C.
Windows PC
A Windows PC is a personal computer running the Microsoft Windows operating system, commonly used for gaming, productivity, and general-purpose computing.
-
D.
IBM PC
The IBM PC is the original 1981 personal computer model from IBM that became a de facto industry standard and helped popularize home and business computing worldwide.
-
E.
Platform
Platform is a competitive program at the Toronto International Film Festival that showcases bold, director-driven international cinema.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb973a51881908c2c1e633daa3cb4 |
completed | March 7, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2003e9488190b54ff042c91d4a62 |
completed | March 9, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69ae20946a288190a3bd2a19e3608e86 |
completed | March 9, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae2109d17c819094a298a822064052 |
completed | March 9, 2026, 1:23 a.m. |
Created at: March 4, 2026, 7:39 p.m.