Triple
T15024663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Anderson |
E378177
|
entity |
| Predicate | childOf |
P120
|
FINISHED |
| Object | Jim Anderson |
E319621
|
NE FINISHED |
How this triple was built (2 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: [Betty Anderson, childOf, Jim Anderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Anderson Context triple: [Betty Anderson, childOf, Jim Anderson]
-
A.
Jim Anderson
chosen
Jim Anderson is the sensible, good-natured father and central figure of the classic American radio and television sitcom "Father Knows Best."
-
B.
Jim Anderson
Jim Anderson is known as the husband of Margaret Anderson.
-
C.
Brian Anderson
Brian Anderson is a professional baseball player and Major League outfielder who previously played collegiate summer ball for the Lakeshore Chinooks.
-
D.
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.
-
E.
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."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7de117c8190a1b9fa8d1602057e |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd499108190b803c6afc0fa00bc |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:56 a.m.