Triple
T13393020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Anderson |
E319622
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Jim Anderson
Jim Anderson is known as the husband of Margaret Anderson.
|
E1036526
|
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: Jim Anderson | Statement: [Margaret Anderson, spouse, Jim Anderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Anderson Context triple: [Margaret Anderson, spouse, Jim Anderson]
-
A.
Jim Anderson
Jim Anderson is the sensible, good-natured father and central figure of the classic American radio and television sitcom "Father Knows Best."
-
B.
Justin Anderson
Justin Anderson is an American professional basketball player known for his time in the NBA as a versatile wing and strong perimeter defender.
-
C.
Jake Anderson
Jake Anderson is a fictional character best known as the charming love interest of Sarah Nolan in the romantic comedy film "Must Love Dogs."
-
D.
Greg Anderson
Greg Anderson is an Anglican bishop who leads the Diocese of the Northern Territory in Australia.
-
E.
Glenn Anders
Glenn Anders was an American character actor best known for his eccentric and unsettling performances in classic films and on Broadway during the early to mid-20th century.
- 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: Jim Anderson Triple: [Margaret Anderson, spouse, Jim Anderson]
Generated description
Jim Anderson is known as the husband of Margaret Anderson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jim Anderson Target entity description: Jim Anderson is known as the husband of Margaret Anderson.
-
A.
Jim Anderson
Jim Anderson is the sensible, good-natured father and central figure of the classic American radio and television sitcom "Father Knows Best."
-
B.
Justin Anderson
Justin Anderson is an American professional basketball player known for his time in the NBA as a versatile wing and strong perimeter defender.
-
C.
Jake Anderson
Jake Anderson is a fictional character best known as the charming love interest of Sarah Nolan in the romantic comedy film "Must Love Dogs."
-
D.
Greg Anderson
Greg Anderson is an Anglican bishop who leads the Diocese of the Northern Territory in Australia.
-
E.
Glenn Anders
Glenn Anders was an American character actor best known for his eccentric and unsettling performances in classic films and on Broadway during the early to mid-20th century.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d74e5881909828854bba7d9a87 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72693a440819095a3136d8f49680a |
completed | May 3, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_69f72751f1b48190a8a79f10bf52b73d |
completed | May 3, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f727fbfde88190865aea5d6b4cb29d |
completed | May 3, 2026, 10:48 a.m. |
Created at: April 9, 2026, 9:34 p.m.