Triple
T22840695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Her Shoes |
E566069
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Candice Azzara
Candice Azzara is an American character actress known for her extensive work in film, television, and theater since the late 1960s.
|
E1557699
|
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: Candice Azzara | Statement: [In Her Shoes, stars, Candice Azzara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Candice Azzara Context triple: [In Her Shoes, stars, Candice Azzara]
-
A.
Candice D’Arcy
Candice D’Arcy is an actress best known for her leading role in the film "The Girl."
-
B.
Danielle Alexandra
Danielle Alexandra is a screenwriter best known for co-writing the 1997 military drama film "G.I. Jane."
-
C.
Sheree Zampino
Sheree Zampino is an American entrepreneur, reality television personality, and the ex-wife of actor Will Smith, known for her appearances on shows like "Hollywood Exes" and "The Real Housewives of Beverly Hills."
-
D.
Nicole D'Ovidio
Nicole D'Ovidio is a screenwriter best known for crafting the story for the 2013 thriller film "The Call."
-
E.
Danielle Vitalis
Danielle Vitalis is a British actress known for her role in the sci-fi comedy film "Attack the Block" and appearances in various UK television series.
- 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: Candice Azzara Triple: [In Her Shoes, stars, Candice Azzara]
Generated description
Candice Azzara is an American character actress known for her extensive work in film, television, and theater since the late 1960s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Candice Azzara Target entity description: Candice Azzara is an American character actress known for her extensive work in film, television, and theater since the late 1960s.
-
A.
Candice D’Arcy
Candice D’Arcy is an actress best known for her leading role in the film "The Girl."
-
B.
Danielle Alexandra
Danielle Alexandra is a screenwriter best known for co-writing the 1997 military drama film "G.I. Jane."
-
C.
Sheree Zampino
Sheree Zampino is an American entrepreneur, reality television personality, and the ex-wife of actor Will Smith, known for her appearances on shows like "Hollywood Exes" and "The Real Housewives of Beverly Hills."
-
D.
Nicole D'Ovidio
Nicole D'Ovidio is a screenwriter best known for crafting the story for the 2013 thriller film "The Call."
-
E.
Danielle Vitalis
Danielle Vitalis is a British actress known for her role in the sci-fi comedy film "Attack the Block" and appearances in various UK television series.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e83fa48819084568264ef45c833 |
completed | April 29, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7b565388190bb70602834ae5622 |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba8666f608190b512aa4c8442f6c1 |
completed | May 19, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0baa4decf881909774facad2cae93d |
completed | May 19, 2026, 12:09 a.m. |
Created at: April 17, 2026, 3:35 p.m.