Triple
T20382562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samson and Delilah (biblical story) |
E497875
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Delilah
Delilah is a figure from the Hebrew Bible known for betraying Samson by discovering and revealing the secret of his strength.
|
E108901
|
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: [Samson and Delilah (biblical story), featuresCharacter, Delilah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delilah Context triple: [Samson and Delilah (biblical story), featuresCharacter, Delilah]
-
A.
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*.
-
B.
Delilah
Delilah is a staff member at the Tranquillum House wellness resort in Liane Moriarty’s novel (and its TV adaptation) "Nine Perfect Strangers," involved in the unconventional treatment of the guests.
-
C.
Delilah
Delilah is a 1949 American film noir drama scored by composer Victor Young.
-
D.
Delilah
"Delilah" is a 1968 pop song by Welsh singer Tom Jones, known for its dramatic storytelling and powerful vocal performance.
-
E.
Delilah
Delilah is a drama television series that serves as a spin-off of the church-centered family saga Greenleaf, focusing on new characters and legal and personal conflicts.
- 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: [Samson and Delilah (biblical story), featuresCharacter, Delilah]
Generated description
Delilah is a figure from the Hebrew Bible known for betraying Samson by discovering and revealing the secret of his strength.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Delilah Target entity description: Delilah is a figure from the Hebrew Bible known for betraying Samson by discovering and revealing the secret of his strength.
-
A.
Delilah
chosen
Delilah is a biblical figure best known for betraying Samson by discovering and revealing the secret of his strength.
-
B.
Delilah
Delilah is a drama television series that serves as a spin-off of the church-centered family saga Greenleaf, focusing on new characters and legal and personal conflicts.
-
C.
Delilah
Delilah is a staff member at the Tranquillum House wellness resort in Liane Moriarty’s novel (and its TV adaptation) "Nine Perfect Strangers," involved in the unconventional treatment of the guests.
-
D.
Delilah
"Delilah" is a 1968 pop song by Welsh singer Tom Jones, known for its dramatic storytelling and powerful vocal performance.
-
E.
Delilah
Delilah is a British singer-songwriter known for her soulful vocals and collaborations within the electronic and drum and bass music scenes.
- F. None of above.
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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b208ec8190a09bf5fd947a2a02 |
completed | April 20, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08761704488190a4b832977d824839 |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a08771f7edc8190b0c1dce8f5f6e145 |
completed | May 16, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0877ac99408190a31ee21894770334 |
completed | May 16, 2026, 1:57 p.m. |
Created at: April 16, 2026, 11:27 a.m.