Triple
T4687976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nine Perfect Strangers |
E103965
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
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.
|
E459887
|
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: [Nine Perfect Strangers, character, Delilah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delilah Context triple: [Nine Perfect Strangers, character, Delilah]
-
A.
Delilah
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.
D'Lila
D'Lila is one of the twin daughters of music mogul Sean "Diddy" Combs and the late model Kim Porter.
-
D.
Jezebel
Jezebel is a feminist-leaning online magazine and blog known for its sharp commentary on gender, culture, and media.
-
E.
Jezebel
Jezebel is a 1938 American drama film starring Bette Davis as a headstrong Southern belle whose defiance leads to personal and social ruin.
- 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: [Nine Perfect Strangers, character, Delilah]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Delilah Target entity description: 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.
-
A.
Delilah
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.
D'Lila
D'Lila is one of the twin daughters of music mogul Sean "Diddy" Combs and the late model Kim Porter.
-
D.
Jezebel
Jezebel is a feminist-leaning online magazine and blog known for its sharp commentary on gender, culture, and media.
-
E.
Jezebel
Jezebel is a 1938 American drama film starring Bette Davis as a headstrong Southern belle whose defiance leads to personal and social ruin.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6397f6888190a9024a51d4d34f2b |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03b75e3481908aa27eeaeec490ca |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be042adb8c8190b6889c3a5b9c18cc |
completed | March 21, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be048f7d7881908ab19bd37c92b423 |
completed | March 21, 2026, 2:38 a.m. |
Created at: March 20, 2026, 1:16 p.m.