Triple
T10394624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catch a Fire (2006 film) |
E244979
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Charlotte Savage
Charlotte Savage is an actress known for her role in the political thriller film "Catch a Fire" (2006).
|
E859507
|
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: Charlotte Savage | Statement: [Catch a Fire (2006 film), castMember, Charlotte Savage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlotte Savage Context triple: [Catch a Fire (2006 film), castMember, Charlotte Savage]
-
A.
Lucinda Ballard
Lucinda Ballard was an American costume designer renowned for her work in theater, ballet, and film, and a pioneer in modern stage costume design.
-
B.
Lucinda Sanders
Lucinda Sanders is a prominent landscape architect and business leader, best known as a principal and CEO of the design firm OLIN.
-
C.
Charlotte Shanks
Charlotte Shanks is the wife of American actor Tom Skerritt.
-
D.
Ruby Gentry
Ruby Gentry is a 1952 American melodrama film directed by King Vidor, starring Jennifer Jones as a poor Southern woman whose passionate love and social struggles lead to tragedy.
-
E.
Lavinia Penniman
Lavinia Penniman is a meddlesome, romantic-minded aunt in Henry James’s novel "Washington Square," whose interference significantly shapes the story’s central relationships.
- 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: Charlotte Savage Triple: [Catch a Fire (2006 film), castMember, Charlotte Savage]
Generated description
Charlotte Savage is an actress known for her role in the political thriller film "Catch a Fire" (2006).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charlotte Savage Target entity description: Charlotte Savage is an actress known for her role in the political thriller film "Catch a Fire" (2006).
-
A.
Lucinda Ballard
Lucinda Ballard was an American costume designer renowned for her work in theater, ballet, and film, and a pioneer in modern stage costume design.
-
B.
Lucinda Sanders
Lucinda Sanders is a prominent landscape architect and business leader, best known as a principal and CEO of the design firm OLIN.
-
C.
Charlotte Shanks
Charlotte Shanks is the wife of American actor Tom Skerritt.
-
D.
Ruby Gentry
Ruby Gentry is a 1952 American melodrama film directed by King Vidor, starring Jennifer Jones as a poor Southern woman whose passionate love and social struggles lead to tragedy.
-
E.
Lavinia Penniman
Lavinia Penniman is a meddlesome, romantic-minded aunt in Henry James’s novel "Washington Square," whose interference significantly shapes the story’s central relationships.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9ce6bb08190bfeaba98a126526d |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795c8271c81908a6b67822050c06d |
completed | April 9, 2026, 12:04 p.m. |
| NEDg | Description generation | batch_69d7975308648190af421c90bd1200b7 |
completed | April 9, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d798e6721c81909647d27ce0aa615a |
completed | April 9, 2026, 12:17 p.m. |
Created at: April 6, 2026, 12:06 p.m.