Triple
T17716777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homer (surname) |
E442219
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Andrew Homer
Andrew Homer is a person notable enough to be recognized as a bearer of the Homer surname.
|
E1283594
|
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: Andrew Homer | Statement: [Homer (surname), hasNotableBearer, Andrew Homer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Homer Context triple: [Homer (surname), hasNotableBearer, Andrew Homer]
-
A.
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.
-
B.
Homer Martin
Homer Martin was an American labor leader who served as an early president of the United Auto Workers and played a key role in organizing autoworkers during the 1930s.
-
C.
Homer Jack
Homer Jack was an American Unitarian minister and prominent civil rights and peace activist who helped lead and organize key mid-20th-century social justice movements.
-
D.
Homer Smith
Homer Smith is the itinerant African American handyman and ex-GI who helps a group of German nuns build a chapel in the novel and film "Lilies of the Field."
-
E.
Bob Burns
Bob Burns was an American comedian, actor, and radio personality known for his folksy humor and appearances in 1930s Hollywood films.
- 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: Andrew Homer Triple: [Homer (surname), hasNotableBearer, Andrew Homer]
Generated description
Andrew Homer is a person notable enough to be recognized as a bearer of the Homer surname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Homer Target entity description: Andrew Homer is a person notable enough to be recognized as a bearer of the Homer surname.
-
A.
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.
-
B.
Homer Martin
Homer Martin was an American labor leader who served as an early president of the United Auto Workers and played a key role in organizing autoworkers during the 1930s.
-
C.
Homer Jack
Homer Jack was an American Unitarian minister and prominent civil rights and peace activist who helped lead and organize key mid-20th-century social justice movements.
-
D.
Homer Smith
Homer Smith is the itinerant African American handyman and ex-GI who helps a group of German nuns build a chapel in the novel and film "Lilies of the Field."
-
E.
Bob Burns
Bob Burns was an American comedian, actor, and radio personality known for his folksy humor and appearances in 1930s Hollywood films.
- 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_6a02302bd9b08190979ee441035b17bb |
completed | May 11, 2026, 7:38 p.m. |
| NEDg | Description generation | batch_6a023192ea9c819096bf6ed8952f21c4 |
completed | May 11, 2026, 7:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02321a9c6c8190a86ebfdcfa32f786 |
completed | May 11, 2026, 7:46 p.m. |
Created at: April 10, 2026, 10:06 a.m.