Triple
T9399538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Assange |
E226431
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
John Shipton
John Shipton is an Australian activist best known as the father of WikiLeaks founder Julian Assange and a prominent campaigner for his son's freedom.
|
E806293
|
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 Shipton | Statement: [Daniel Assange, hasRelative, John Shipton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Shipton Context triple: [Daniel Assange, hasRelative, John Shipton]
-
A.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
B.
John Sharp
John Sharp was an English clergyman and theologian known for his influential sermons and religious writings in the late 17th and early 18th centuries.
-
C.
John Sharp
John Sharp was a British character actor known for his numerous supporting roles in film and television from the 1950s through the 1980s.
-
D.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
-
E.
William Pleeth
William Pleeth was a renowned British cellist and influential teacher best known for mentoring the celebrated cellist Jacqueline du Pré.
- 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 Shipton Triple: [Daniel Assange, hasRelative, John Shipton]
Generated description
John Shipton is an Australian activist best known as the father of WikiLeaks founder Julian Assange and a prominent campaigner for his son's freedom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Shipton Target entity description: John Shipton is an Australian activist best known as the father of WikiLeaks founder Julian Assange and a prominent campaigner for his son's freedom.
-
A.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
B.
John Sharp
John Sharp was an English clergyman and theologian known for his influential sermons and religious writings in the late 17th and early 18th centuries.
-
C.
John Sharp
John Sharp was a British character actor known for his numerous supporting roles in film and television from the 1950s through the 1980s.
-
D.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
-
E.
William Pleeth
William Pleeth was a renowned British cellist and influential teacher best known for mentoring the celebrated cellist Jacqueline du Pré.
- 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5156b9588190bafb6b1c3ee3c0ed |
completed | April 1, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d15261b31881908c1059d704e56bf6 |
completed | April 4, 2026, 6:03 p.m. |
| NEDg | Description generation | batch_69d1534f1d448190aec45eb76edf8ec9 |
completed | April 4, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d153c42a30819097279446e3db01b9 |
completed | April 4, 2026, 6:09 p.m. |
Created at: March 30, 2026, 7:46 p.m.