Triple
T1129829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebecca Miller |
E23002
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
A Woman Who
A Woman Who is a creative work by American filmmaker and author Rebecca Miller, known for her introspective, character-driven storytelling.
|
E129950
|
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: A Woman Who | Statement: [Rebecca Miller, notableWork, A Woman Who]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A Woman Who Context triple: [Rebecca Miller, notableWork, A Woman Who]
-
A.
This Woman
"This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
-
B.
A Woman's Worth
"A Woman's Worth" is a soulful R&B ballad by Alicia Keys that celebrates female value and respect, released as a single from her debut album "Songs in A Minor."
-
C.
One Man’s Woman
"One Man’s Woman" is a song by American country music artist Kenny Rogers.
-
D.
Two Ladies
Two Ladies is the joint title given to the ancient Egyptian goddesses Wadjet and Nekhbet, who together served as protective patron deities of unified Egypt.
-
E.
Madam
"Madam" is a formal term of address for a woman, often used to show respect or politeness in social, professional, or official contexts.
- 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: A Woman Who Triple: [Rebecca Miller, notableWork, A Woman Who]
Generated description
A Woman Who is a creative work by American filmmaker and author Rebecca Miller, known for her introspective, character-driven storytelling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A Woman Who Target entity description: A Woman Who is a creative work by American filmmaker and author Rebecca Miller, known for her introspective, character-driven storytelling.
-
A.
This Woman
"This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
-
B.
A Woman's Worth
"A Woman's Worth" is a soulful R&B ballad by Alicia Keys that celebrates female value and respect, released as a single from her debut album "Songs in A Minor."
-
C.
One Man’s Woman
"One Man’s Woman" is a song by American country music artist Kenny Rogers.
-
D.
Two Ladies
Two Ladies is the joint title given to the ancient Egyptian goddesses Wadjet and Nekhbet, who together served as protective patron deities of unified Egypt.
-
E.
Madam
"Madam" is a formal term of address for a woman, often used to show respect or politeness in social, professional, or official contexts.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bbf979108190adad7073c8275dd2 |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac59a82bb8819084f77aff9af653c0 |
completed | March 7, 2026, 5 p.m. |
| NEDg | Description generation | batch_69ac5a97f1408190855d8ea4f4317b07 |
completed | March 7, 2026, 5:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5b1b5930819098f511db269e991d |
completed | March 7, 2026, 5:06 p.m. |
Created at: March 1, 2026, 7:44 p.m.