Triple
T2523943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnie Grape |
E55990
|
entity |
| Predicate | residesIn |
P75
|
FINISHED |
| Object |
Endora
Endora is the fictional small-town setting of the film "What's Eating Gilbert Grape," characterized by its rural isolation and close-knit community.
|
E276001
|
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: Endora | Statement: [Arnie Grape, residesIn, Endora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Endora Context triple: [Arnie Grape, residesIn, Endora]
-
A.
Celia
Celia is the central character in the 1991 psychological drama film "Proof," around whom the story’s emotional and relational tensions revolve.
-
B.
Geraldine
Geraldine is a feminine given name of Germanic origin that has been borne by various notable figures, including actress Geraldine Chaplin.
-
C.
Gertrude Lamfrom
Gertrude Lamfrom, better known as Gert Boyle, was the longtime chairwoman and public face of Columbia Sportswear, famed for her “One Tough Mother” persona in the company’s advertising.
-
D.
Marjorie
Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
-
E.
Martha
Martha is a feminine given name of Aramaic origin, historically borne by notable figures such as Martha Washington, the first First Lady of the United States.
- 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: Endora Triple: [Arnie Grape, residesIn, Endora]
Generated description
Endora is the fictional small-town setting of the film "What's Eating Gilbert Grape," characterized by its rural isolation and close-knit community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Endora Target entity description: Endora is the fictional small-town setting of the film "What's Eating Gilbert Grape," characterized by its rural isolation and close-knit community.
-
A.
Celia
Celia is the central character in the 1991 psychological drama film "Proof," around whom the story’s emotional and relational tensions revolve.
-
B.
Geraldine
Geraldine is a feminine given name of Germanic origin that has been borne by various notable figures, including actress Geraldine Chaplin.
-
C.
Gertrude Lamfrom
Gertrude Lamfrom, better known as Gert Boyle, was the longtime chairwoman and public face of Columbia Sportswear, famed for her “One Tough Mother” persona in the company’s advertising.
-
D.
Marjorie
Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
-
E.
Martha
Martha is a feminine given name of Aramaic origin, historically borne by notable figures such as Martha Washington, the first First Lady of the United States.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd252f1c88190ac93604542f80f49 |
completed | March 7, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2ba96a0c819091efd6d4ccf95ea5 |
completed | March 9, 2026, 8:20 p.m. |
| NEDg | Description generation | batch_69af508c28f48190afc4aa1bc3c9adf3 |
completed | March 9, 2026, 10:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af5155f85081908dd4a1859d0f7907 |
completed | March 9, 2026, 11:01 p.m. |
Created at: March 6, 2026, 9:46 p.m.