Triple
T3211583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florence and the Machine |
E67292
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Delilah
"Delilah" is a song by English indie rock band Florence and the Machine, featured on their 2015 album *How Big, How Blue, How Beautiful*.
|
E337941
|
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: Delilah | Statement: [Florence and the Machine, notableWork, Delilah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delilah Context triple: [Florence and the Machine, notableWork, Delilah]
-
A.
Delilah
Delilah is a biblical figure best known for betraying Samson by discovering and revealing the secret of his strength.
-
B.
Jezebel
Jezebel is a feminist-leaning online magazine and blog known for its sharp commentary on gender, culture, and media.
-
C.
Jezebel
Jezebel is a 1938 American drama film starring Bette Davis as a headstrong Southern belle whose defiance leads to personal and social ruin.
-
D.
Jezebel
Jezebel is a notorious Phoenician queen in the Hebrew Bible, remembered for promoting Baal worship in Israel and for her violent conflict with the prophet Elijah.
-
E.
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.
- 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: Delilah Triple: [Florence and the Machine, notableWork, Delilah]
Generated description
"Delilah" is a song by English indie rock band Florence and the Machine, featured on their 2015 album *How Big, How Blue, How Beautiful*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Delilah Target entity description: "Delilah" is a song by English indie rock band Florence and the Machine, featured on their 2015 album *How Big, How Blue, How Beautiful*.
-
A.
Delilah
Delilah is a biblical figure best known for betraying Samson by discovering and revealing the secret of his strength.
-
B.
Jezebel
Jezebel is a feminist-leaning online magazine and blog known for its sharp commentary on gender, culture, and media.
-
C.
Jezebel
Jezebel is a 1938 American drama film starring Bette Davis as a headstrong Southern belle whose defiance leads to personal and social ruin.
-
D.
Jezebel
Jezebel is a notorious Phoenician queen in the Hebrew Bible, remembered for promoting Baal worship in Israel and for her violent conflict with the prophet Elijah.
-
E.
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.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaaba224c8190ad2f4e0ed1c2ca4a |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b262326d508190a4a702ed549fed99 |
completed | March 12, 2026, 6:50 a.m. |
| NEDg | Description generation | batch_69b264c446088190a1651e108279c7ba |
completed | March 12, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b265ef74d081908fe4dd4998dbf240 |
completed | March 12, 2026, 7:06 a.m. |
Created at: March 8, 2026, 3:07 p.m.