Triple
T14651029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katha Pollitt |
E343983
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Sophie Lukes
Sophie Lukes is the daughter of American feminist poet, essayist, and columnist Katha Pollitt.
|
E1121749
|
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: Sophie Lukes | Statement: [Katha Pollitt, hasChild, Sophie Lukes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophie Lukes Context triple: [Katha Pollitt, hasChild, Sophie Lukes]
-
A.
Sophie Menter
Sophie Menter was a renowned 19th-century German pianist and composer celebrated for her virtuosic performances and close artistic association with Franz Liszt.
-
B.
Tessa Piggott
Tessa Piggott is the central protagonist of the British television drama series "Love Hurts," around whose personal and professional life the story revolves.
-
C.
Katherine Wilkinson
Katherine Wilkinson is a climate strategist, author, and speaker known for her work on solutions-focused climate communication and leadership, including co-editing the influential book "All We Can Save."
-
D.
Sophie Carle
Sophie Carle is a Luxembourgish actress and singer best known for representing Luxembourg in the Eurovision Song Contest in the 1980s.
-
E.
Philippa Goslett
Philippa Goslett is a British screenwriter and producer known for her work on films such as the biblical drama "Mary Magdalene" (2018).
- 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: Sophie Lukes Triple: [Katha Pollitt, hasChild, Sophie Lukes]
Generated description
Sophie Lukes is the daughter of American feminist poet, essayist, and columnist Katha Pollitt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sophie Lukes Target entity description: Sophie Lukes is the daughter of American feminist poet, essayist, and columnist Katha Pollitt.
-
A.
Sophie Menter
Sophie Menter was a renowned 19th-century German pianist and composer celebrated for her virtuosic performances and close artistic association with Franz Liszt.
-
B.
Tessa Piggott
Tessa Piggott is the central protagonist of the British television drama series "Love Hurts," around whose personal and professional life the story revolves.
-
C.
Katherine Wilkinson
Katherine Wilkinson is a climate strategist, author, and speaker known for her work on solutions-focused climate communication and leadership, including co-editing the influential book "All We Can Save."
-
D.
Sophie Carle
Sophie Carle is a Luxembourgish actress and singer best known for representing Luxembourg in the Eurovision Song Contest in the 1980s.
-
E.
Philippa Goslett
Philippa Goslett is a British screenwriter and producer known for her work on films such as the biblical drama "Mary Magdalene" (2018).
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb517e7648190b9fc73d6cdbb68de |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe388298c0819083c6bd7259c02d08 |
completed | May 8, 2026, 7:24 p.m. |
| NEDg | Description generation | batch_69fe41c0a6608190b9e977c6a0470de9 |
completed | May 8, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe4263f1cc8190b30478a3fb750ba5 |
completed | May 8, 2026, 8:07 p.m. |
Created at: April 10, 2026, 1:27 a.m.