Triple
T22658834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samson and Delilah |
E559303
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Delilah |
—
|
NE NERFINISHED |
How this triple was built (2 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, featuresCharacter, Delilah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delilah Context triple: [Samson and Delilah, featuresCharacter, Delilah]
-
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 song by English indie rock band Florence and the Machine, featured on their 2015 album *How Big, How Blue, How Beautiful*.
-
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 1949 American film noir drama scored by composer Victor Young.
-
E.
Delilah
"Delilah" is a hip-hop track by Rakaa Iriscience that showcases his introspective lyricism and socially conscious storytelling.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765dc9088190b022ac564a8b5c26 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:07 p.m.