Triple
T9430626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Queen of Spades |
E227363
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Liza
Liza is a central tragic heroine in Alexander Pushkin’s short story "The Queen of Spades," whose ill-fated love and entanglement with gambling intrigue drive much of the plot.
|
E801649
|
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: Liza | Statement: [The Queen of Spades, mainCharacter, Liza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liza Context triple: [The Queen of Spades, mainCharacter, Liza]
-
A.
Liza
Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
-
B.
Love Liza
Love Liza is a 2002 independent drama film starring Philip Seymour Hoffman as a grieving widower spiraling into gasoline huffing after his wife's suicide.
-
C.
Liza Rey
Liza Rey is a musician and harpist known for her work in jazz and popular music, as well as for being part of a prominent musical family.
-
D.
Liz
Liz is a common shortened form or nickname for the given name Elizabeth.
-
E.
Liza Todd
Liza Todd is an American sculptor and the daughter of actress Elizabeth Taylor and producer Mike Todd.
- 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: Liza Triple: [The Queen of Spades, mainCharacter, Liza]
Generated description
Liza is a central tragic heroine in Alexander Pushkin’s short story "The Queen of Spades," whose ill-fated love and entanglement with gambling intrigue drive much of the plot.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liza Target entity description: Liza is a central tragic heroine in Alexander Pushkin’s short story "The Queen of Spades," whose ill-fated love and entanglement with gambling intrigue drive much of the plot.
-
A.
Liza
Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
-
B.
Love Liza
Love Liza is a 2002 independent drama film starring Philip Seymour Hoffman as a grieving widower spiraling into gasoline huffing after his wife's suicide.
-
C.
Liza Rey
Liza Rey is a musician and harpist known for her work in jazz and popular music, as well as for being part of a prominent musical family.
-
D.
Liz
Liz is a common shortened form or nickname for the given name Elizabeth.
-
E.
Liza Todd
Liza Todd is an American sculptor and the daughter of actress Elizabeth Taylor and producer Mike Todd.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e5ed7408190beda5fb078e9345a |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12cd623308190ba55223399ee3aa8 |
completed | April 4, 2026, 3:23 p.m. |
| NEDg | Description generation | batch_69d12d8826248190aff8bf1ca1c15a03 |
completed | April 4, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12ddbfe988190b639bd16be05f343 |
completed | April 4, 2026, 3:27 p.m. |
Created at: March 30, 2026, 7:49 p.m.