Triple
T654505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Roven |
E11616
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Dawn Steel
Dawn Steel was a pioneering American film executive and producer, known as one of the first women to head a major Hollywood studio.
|
E81992
|
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: Dawn Steel | Statement: [Charles Roven, spouse, Dawn Steel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dawn Steel Context triple: [Charles Roven, spouse, Dawn Steel]
-
A.
Dawn
Dawn is a novel by Elie Wiesel that explores the moral and psychological struggles of a young Holocaust survivor involved in a Jewish underground movement in British-controlled Palestine.
-
B.
Ahlden
Ahlden is a small municipality in Lower Saxony, Germany, historically known for the long confinement and death of Sophia Dorothea of Celle.
-
C.
Illangelo
Illangelo is a Canadian record producer and songwriter best known for his dark, atmospheric work with The Weeknd and contributions to contemporary R&B and pop music.
-
D.
Scarlet Knight
Scarlet Knight is the armored medieval knight mascot representing Rutgers University's athletic teams.
-
E.
Haggith
Haggith is a lesser-known wife of King David in the Hebrew Bible and the mother of his son Adonijah.
- 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: Dawn Steel Triple: [Charles Roven, spouse, Dawn Steel]
Generated description
Dawn Steel was a pioneering American film executive and producer, known as one of the first women to head a major Hollywood studio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dawn Steel Target entity description: Dawn Steel was a pioneering American film executive and producer, known as one of the first women to head a major Hollywood studio.
-
A.
Dawn
Dawn is a novel by Elie Wiesel that explores the moral and psychological struggles of a young Holocaust survivor involved in a Jewish underground movement in British-controlled Palestine.
-
B.
Ahlden
Ahlden is a small municipality in Lower Saxony, Germany, historically known for the long confinement and death of Sophia Dorothea of Celle.
-
C.
Illangelo
Illangelo is a Canadian record producer and songwriter best known for his dark, atmospheric work with The Weeknd and contributions to contemporary R&B and pop music.
-
D.
Scarlet Knight
Scarlet Knight is the armored medieval knight mascot representing Rutgers University's athletic teams.
-
E.
Haggith
Haggith is a lesser-known wife of King David in the Hebrew Bible and the mother of his son Adonijah.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4bb5b881908a18b5ec1c94e0cf |
completed | March 1, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a591486b708190b0191e958c6c8851 |
completed | March 2, 2026, 1:31 p.m. |
| NEDg | Description generation | batch_69a592095c7881909c7bdeb5ac5a2cdd |
completed | March 2, 2026, 1:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a595bf289c8190971799c6942f29e3 |
completed | March 2, 2026, 1:50 p.m. |
Created at: March 1, 2026, 7:36 p.m.