Triple
T984119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samson and Delilah (1949 film) |
E21240
|
entity |
| Predicate | portrays |
P264
|
FINISHED |
| Object | Delilah |
E108901
|
NE FINISHED |
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 (1949 film), portrays, Delilah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delilah Context triple: [Samson and Delilah (1949 film), portrays, Delilah]
-
A.
Delilah
chosen
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 notorious Phoenician queen in the Hebrew Bible, remembered for promoting Baal worship in Israel and for her violent conflict with the prophet Elijah.
-
D.
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.
-
E.
Camille
Camille is a French given name used for both males and females, historically associated with figures such as the revolutionary journalist Camille Desmoulins.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b493f5dc819090d239c2f7e083de |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3ba14f00819089497240f77acd94 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.