Triple
T5495497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Sanger |
E144200
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Stuart Sanger
Stuart Sanger was one of the children of birth control activist and Planned Parenthood founder Margaret Sanger.
|
E531266
|
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: Stuart Sanger | Statement: [Margaret Sanger, child, Stuart Sanger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stuart Sanger Context triple: [Margaret Sanger, child, Stuart Sanger]
-
A.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
-
B.
Stuart Baird
Stuart Baird is a British film editor and director renowned for his work on major Hollywood action and blockbuster films such as the James Bond and Lethal Weapon series.
-
C.
Stuart Burge
Stuart Burge was a British film, television, and theatre director best known for his adaptations of classic plays, particularly works by Shakespeare.
-
D.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
-
E.
Stuart Davies
Stuart Davies was a British aeronautical engineer best known for leading the design of the Avro Vulcan strategic bomber.
- 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: Stuart Sanger Triple: [Margaret Sanger, child, Stuart Sanger]
Generated description
Stuart Sanger was one of the children of birth control activist and Planned Parenthood founder Margaret Sanger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stuart Sanger Target entity description: Stuart Sanger was one of the children of birth control activist and Planned Parenthood founder Margaret Sanger.
-
A.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
-
B.
Stuart Baird
Stuart Baird is a British film editor and director renowned for his work on major Hollywood action and blockbuster films such as the James Bond and Lethal Weapon series.
-
C.
Stuart Burge
Stuart Burge was a British film, television, and theatre director best known for his adaptations of classic plays, particularly works by Shakespeare.
-
D.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
-
E.
Stuart Davies
Stuart Davies was a British aeronautical engineer best known for leading the design of the Avro Vulcan strategic bomber.
- 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_69c008f5a2748190bce7a39aabf87a6d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01b8c05ac8190999f84c33719d794 |
completed | March 22, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027887dc48190be1761b17481e106 |
completed | March 22, 2026, 5:31 p.m. |
| NEDg | Description generation | batch_69c033db6ebc8190ab35c707b846426d |
completed | March 22, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0345cd5b88190855efd8c1bb94693 |
completed | March 22, 2026, 6:26 p.m. |
Created at: March 22, 2026, 3:31 p.m.