Triple
T20663410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellery Queen |
E507820
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Face to Face
Face to Face is a mystery novel by Ellery Queen featuring his signature blend of intricate plotting and deductive detection.
|
E1443738
|
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: Face to Face | Statement: [Ellery Queen, notableWork, Face to Face]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Face to Face Context triple: [Ellery Queen, notableWork, Face to Face]
-
A.
Face to Face
"Face to Face" is a studio album by Irish boy band Westlife, known for its pop ballads and chart-topping singles.
-
B.
Face to Face
Face to Face is an American punk rock band known for its melodic, skate-punk sound and influential role in the 1990s Southern California punk scene.
-
C.
Face to Face
Face to Face is a 1966 studio album by the Kinks that marked the band's shift toward more sophisticated, narrative-driven pop songwriting.
-
D.
Face to Face
Face to Face is an Indian television interview show best known for its in-depth conversations with prominent public figures, hosted by journalist Karan Thapar.
-
E.
Face to Face
Face to Face is a stage play by Australian dramatist David Williamson that explores themes of workplace conflict, mediation, and social responsibility.
- 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: Face to Face Triple: [Ellery Queen, notableWork, Face to Face]
Generated description
Face to Face is a mystery novel by Ellery Queen featuring his signature blend of intricate plotting and deductive detection.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Face to Face Target entity description: Face to Face is a mystery novel by Ellery Queen featuring his signature blend of intricate plotting and deductive detection.
-
A.
Face to Face
Face to Face is a 1966 studio album by the Kinks that marked the band's shift toward more sophisticated, narrative-driven pop songwriting.
-
B.
Face to Face
Face to Face is a stage play by Australian dramatist David Williamson that explores themes of workplace conflict, mediation, and social responsibility.
-
C.
Face to Face
"Face to Face" is a studio album by Irish boy band Westlife, known for its pop ballads and chart-topping singles.
-
D.
Face to Face
Face to Face is a 1976 psychological drama film directed by Ingmar Bergman, renowned for Liv Ullmann’s intense portrayal of a psychiatrist undergoing a mental breakdown.
-
E.
Face to Face
Face to Face is a 1967 Italian Spaghetti Western film directed by Sergio Sollima, known for its political overtones and for starring Tomas Milian alongside Gian Maria Volonté.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f4872481908858eb88ce89dd47 |
completed | April 20, 2026, 11:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd5afe5081909e20b796dd9f0908 |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d175206c8190b119bb1a2d06462f |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d28e02fc8190ab694673156ab0c0 |
completed | May 16, 2026, 8:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.