Triple
T10527580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Women Have Curves |
E248345
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Norman Kemna
Norman Kemna is a composer and musician best known for creating the musical score for the film "Real Women Have Curves."
|
E869508
|
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: Norman Kemna | Statement: [Real Women Have Curves, musicBy, Norman Kemna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Kemna Context triple: [Real Women Have Curves, musicBy, Norman Kemna]
-
A.
Norman Hilberry
Norman Hilberry was an American physicist and administrator best known for his leadership roles in the Manhattan Project and later as director of Argonne National Laboratory.
-
B.
Norman Ziegler
Norman Ziegler is the father of American actress and screenwriter Karen Black.
-
C.
Norman Hewson
Norman Hewson is the brother of U2's lead singer Bono and a member of the Hewson family from Dublin, Ireland.
-
D.
Norman Holme
Norman Holme was the husband of British writer and biographer Thea Holme.
-
E.
Norman Bluhm
Norman Bluhm was an American abstract expressionist painter known for his dynamic, gestural canvases that bridged action painting and lyrical abstraction.
- 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: Norman Kemna Triple: [Real Women Have Curves, musicBy, Norman Kemna]
Generated description
Norman Kemna is a composer and musician best known for creating the musical score for the film "Real Women Have Curves."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Norman Kemna Target entity description: Norman Kemna is a composer and musician best known for creating the musical score for the film "Real Women Have Curves."
-
A.
Norman Hilberry
Norman Hilberry was an American physicist and administrator best known for his leadership roles in the Manhattan Project and later as director of Argonne National Laboratory.
-
B.
Norman Ziegler
Norman Ziegler is the father of American actress and screenwriter Karen Black.
-
C.
Norman Hewson
Norman Hewson is the brother of U2's lead singer Bono and a member of the Hewson family from Dublin, Ireland.
-
D.
Norman Holme
Norman Holme was the husband of British writer and biographer Thea Holme.
-
E.
Norman Bluhm
Norman Bluhm was an American abstract expressionist painter known for his dynamic, gestural canvases that bridged action painting and lyrical abstraction.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f5ec348190875c8c877e70ba4a |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e31350c8190a7493cdc33cc450a |
completed | April 10, 2026, 2:50 p.m. |
| NEDg | Description generation | batch_69d9107e8b94819086ebba1675a0db54 |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911a16b1481909197b00c30de48c4 |
completed | April 10, 2026, 3:05 p.m. |
Created at: April 6, 2026, 12:29 p.m.