Triple
T3972345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cher |
E92362
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Dark Lady
"Dark Lady" is a 1974 pop song by American singer Cher, known for its dramatic storytelling and chart-topping success.
|
E405166
|
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: Dark Lady | Statement: [Cher, notableWork, Dark Lady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dark Lady Context triple: [Cher, notableWork, Dark Lady]
-
A.
Lenore
"Lenore" is a melancholic poem by Edgar Allan Poe that explores themes of death, mourning, and idealized love through the lament for a lost woman.
-
B.
Leonora
Leonora is a feminine given name used in various cultures, often considered a variant of Eleanor or Leonore.
-
C.
Leonora
Leonora is a remote mining town in Western Australia’s Goldfields-Esperance region, historically significant for its goldfields and outback heritage.
-
D.
Francesca
Francesca is an Italian given name, traditionally the feminine form of Francesco and commonly used in Italian-speaking and other European cultures.
-
E.
Maria Magdalena Keverich
Maria Magdalena Keverich was a German woman best known as the mother of the composer Ludwig van Beethoven.
- 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: Dark Lady Triple: [Cher, notableWork, Dark Lady]
Generated description
"Dark Lady" is a 1974 pop song by American singer Cher, known for its dramatic storytelling and chart-topping success.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dark Lady Target entity description: "Dark Lady" is a 1974 pop song by American singer Cher, known for its dramatic storytelling and chart-topping success.
-
A.
Lenore
"Lenore" is a melancholic poem by Edgar Allan Poe that explores themes of death, mourning, and idealized love through the lament for a lost woman.
-
B.
Leonora
Leonora is a feminine given name used in various cultures, often considered a variant of Eleanor or Leonore.
-
C.
Leonora
Leonora is a remote mining town in Western Australia’s Goldfields-Esperance region, historically significant for its goldfields and outback heritage.
-
D.
Francesca
Francesca is an Italian given name, traditionally the feminine form of Francesco and commonly used in Italian-speaking and other European cultures.
-
E.
Maria Magdalena Keverich
Maria Magdalena Keverich was a German woman best known as the mother of the composer Ludwig van Beethoven.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef996ff6c8190ba8cc490e4744b95 |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5400fa9ac8190adf70a4c49eac32c |
completed | March 14, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69b5442537488190a7a99e09ee154057 |
completed | March 14, 2026, 11:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b544f60e288190973aaf0a4136a072 |
completed | March 14, 2026, 11:22 a.m. |
Created at: March 9, 2026, 3:32 p.m.