Triple
T2399744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastian Coe |
E47738
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Coe
Coe is a surname most prominently associated with Sebastian Coe, the British middle-distance running champion and influential sports administrator.
|
E263780
|
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: Coe | Statement: [Sebastian Coe, familyName, Coe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coe Context triple: [Sebastian Coe, familyName, Coe]
-
A.
Heed Cosey
Heed Cosey is a central character in Toni Morrison’s novel "Love," whose complex relationship with the Cosey family and her former friend Christine drives much of the book’s exploration of memory, desire, and betrayal.
-
B.
Boe
Boe is a city in Guinea-Bissau known as the site where the Boé Declaration on Regional Security was adopted.
-
C.
Klecko
Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
-
D.
Koops
Koops is a timid Koopa Troopa character and party member from the video game "Paper Mario: The Thousand-Year Door."
-
E.
Co3
Co3 is one of the three sporadic Conway simple groups, notable as a finite simple group related to the symmetries of the Leech lattice.
- 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: Coe Triple: [Sebastian Coe, familyName, Coe]
Generated description
Coe is a surname most prominently associated with Sebastian Coe, the British middle-distance running champion and influential sports administrator.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Coe Target entity description: Coe is a surname most prominently associated with Sebastian Coe, the British middle-distance running champion and influential sports administrator.
-
A.
Heed Cosey
Heed Cosey is a central character in Toni Morrison’s novel "Love," whose complex relationship with the Cosey family and her former friend Christine drives much of the book’s exploration of memory, desire, and betrayal.
-
B.
Boe
Boe is a city in Guinea-Bissau known as the site where the Boé Declaration on Regional Security was adopted.
-
C.
Klecko
Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
-
D.
Koops
Koops is a timid Koopa Troopa character and party member from the video game "Paper Mario: The Thousand-Year Door."
-
E.
Co3
Co3 is one of the three sporadic Conway simple groups, notable as a finite simple group related to the symmetries of the Leech lattice.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc8c95d8c819088e4bb4fb32452ae |
completed | March 7, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3e081648190be42e9fc5046830f |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb4a5011c8190bda6c487dab73131 |
completed | March 9, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb59d0e5c819080bf5b34946b68ac |
completed | March 9, 2026, 11:57 a.m. |
Created at: March 4, 2026, 7:57 p.m.