Triple
T17716790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homer (surname) |
E442219
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
John Homer
John Homer is a notable individual who bears the surname Homer, recognized for achievements significant enough to be recorded among prominent people with that name.
|
E1286727
|
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: John Homer | Statement: [Homer (surname), hasNotableBearer, John Homer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Homer Context triple: [Homer (surname), hasNotableBearer, John Homer]
-
A.
Robert Homer
Robert Homer is a person notable enough to be recognized as a bearer of the Homer surname.
-
B.
Sidney Homer
Sidney Homer was an American composer best known for his art songs and vocal music in the late 19th and early 20th centuries.
-
C.
James Homer
James Homer is a person notable enough to be recognized as a bearer of the Homer surname.
-
D.
Arthur David Olson
Arthur David Olson is a computer programmer best known for creating and long maintaining the IANA time zone database, a critical global resource for timekeeping in computing systems.
-
E.
Homer Scott
Homer Scott was a cinematographer best known as the founder of the American Society of Cinematographers, a leading professional organization for film camerawork.
- 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: John Homer Triple: [Homer (surname), hasNotableBearer, John Homer]
Generated description
John Homer is a notable individual who bears the surname Homer, recognized for achievements significant enough to be recorded among prominent people with that name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Homer Target entity description: John Homer is a notable individual who bears the surname Homer, recognized for achievements significant enough to be recorded among prominent people with that name.
-
A.
Robert Homer
Robert Homer is a person notable enough to be recognized as a bearer of the Homer surname.
-
B.
Sidney Homer
Sidney Homer was an American composer best known for his art songs and vocal music in the late 19th and early 20th centuries.
-
C.
James Homer
James Homer is a person notable enough to be recognized as a bearer of the Homer surname.
-
D.
Arthur David Olson
Arthur David Olson is a computer programmer best known for creating and long maintaining the IANA time zone database, a critical global resource for timekeeping in computing systems.
-
E.
Homer Scott
Homer Scott was a cinematographer best known as the founder of the American Society of Cinematographers, a leading professional organization for film camerawork.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47481663c8190a1110385e5596ab0 |
completed | April 19, 2026, 6:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02efad6c1c8190908d563ded272ae8 |
completed | May 12, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_6a02f096fc648190a1ff19f2704a4cef |
completed | May 12, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f1d0a4708190bbf51356da7e965e |
completed | May 12, 2026, 9:24 a.m. |
Created at: April 10, 2026, 10:06 a.m.