Triple
T12093887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth "Lizette" Rooney Mara |
E288017
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Lizette
Lizette is the nickname of American actress Elizabeth Rooney Mara, known for her roles in films like "The Girl with the Dragon Tattoo" and "Carol."
|
E976417
|
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: Lizette | Statement: [Elizabeth "Lizette" Rooney Mara, nickname, Lizette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lizette Context triple: [Elizabeth "Lizette" Rooney Mara, nickname, Lizette]
-
A.
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.
-
B.
Liza
Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
-
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.
Yvette
Yvette is the given first name of the acclaimed American singer Chaka Khan.
-
E.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
- 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: Lizette Triple: [Elizabeth "Lizette" Rooney Mara, nickname, Lizette]
Generated description
Lizette is the nickname of American actress Elizabeth Rooney Mara, known for her roles in films like "The Girl with the Dragon Tattoo" and "Carol."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lizette Target entity description: Lizette is the nickname of American actress Elizabeth Rooney Mara, known for her roles in films like "The Girl with the Dragon Tattoo" and "Carol."
-
A.
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.
-
B.
Liza
Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
-
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.
Yvette
Yvette is the given first name of the acclaimed American singer Chaka Khan.
-
E.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91550ce508190babf5755e1553734 |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e42cd588190835b3e8160bdbba5 |
completed | May 2, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69f61fd2429c8190a8a7c46c312e262d |
completed | May 2, 2026, 4:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f623f5aa608190bce3e62e08077216 |
completed | May 2, 2026, 4:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.