Triple
T8390568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Batten |
E197931
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Ellen Batten
Ellen Batten was the mother of pioneering New Zealand aviator Jean Batten, known for her strong support of her daughter's record-breaking flying career.
|
E857451
|
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: Ellen Batten | Statement: [Jean Batten, parent, Ellen Batten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellen Batten Context triple: [Jean Batten, parent, Ellen Batten]
-
A.
Ellen Yates
Ellen Yates was the mother of Sir Robert Peel, the influential 19th-century British Prime Minister and founder of the modern police force.
-
B.
Ellen Andrews
Ellen Andrews is the mother who magically swaps bodies with her teenage daughter in the 1976 fantasy-comedy film "Freaky Friday."
-
C.
Ellen Cobden
Ellen Cobden was a British suffragist and social reformer, known both for her activism and as the wife of painter Walter Sickert.
-
D.
Ellen Howard
Ellen Howard is a notable individual distinguished by achievements significant enough to be recognized as a prominent bearer of the Howard surname.
-
E.
Mary Ellis
Mary Ellis was a British actress known for her work on stage and screen in 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: Ellen Batten Triple: [Jean Batten, parent, Ellen Batten]
Generated description
Ellen Batten was the mother of pioneering New Zealand aviator Jean Batten, known for her strong support of her daughter's record-breaking flying career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ellen Batten Target entity description: Ellen Batten was the mother of pioneering New Zealand aviator Jean Batten, known for her strong support of her daughter's record-breaking flying career.
-
A.
Ellen Yates
Ellen Yates was the mother of Sir Robert Peel, the influential 19th-century British Prime Minister and founder of the modern police force.
-
B.
Ellen Andrews
Ellen Andrews is the mother who magically swaps bodies with her teenage daughter in the 1976 fantasy-comedy film "Freaky Friday."
-
C.
Ellen Cobden
Ellen Cobden was a British suffragist and social reformer, known both for her activism and as the wife of painter Walter Sickert.
-
D.
Ellen Howard
Ellen Howard is a notable individual distinguished by achievements significant enough to be recognized as a prominent bearer of the Howard surname.
-
E.
Mary Ellis
Mary Ellis was a British actress known for her work on stage and screen in 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb810c5c5c81908e124c64911c4e6c |
completed | March 31, 2026, 8:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d74fa545b8819092809c605542476a |
completed | April 9, 2026, 7:05 a.m. |
| NEDg | Description generation | batch_69d751ab890c8190b1549619049dab91 |
completed | April 9, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7619e97588190a1443f9438c6efc0 |
completed | April 9, 2026, 8:21 a.m. |
Created at: March 30, 2026, 6:03 p.m.