Triple
T12066880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruthie Joad |
E287319
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Ruthie
Ruthie is a young member of the Joad family in John Steinbeck’s novel "The Grapes of Wrath."
|
E969358
|
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: Ruthie | Statement: [Ruthie Joad, givenName, Ruthie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruthie Context triple: [Ruthie Joad, givenName, Ruthie]
-
A.
Judy
Judy was the Allied reporting name for the Japanese Yokosuka D4Y carrier-based dive bomber used by the Imperial Japanese Navy during World War II.
-
B.
Judy
Judy is the familiar nickname of Judy Agnew, who was the Second Lady of the United States during Spiro Agnew’s vice presidency.
-
C.
Judy
Judy is a central teenage character in the film "Rebel Without a Cause," known for her complex relationship with her parents and her emotional bond with Jim Stark.
-
D.
Judy
"Judy" is a multimedia artwork by American contemporary artist Tony Oursler, known for its experimental use of video projection and sculptural elements to explore psychological and technological themes.
-
E.
Judy
"Judy" is a 2019 biographical drama film in which Renée Zellweger portrays legendary entertainer Judy Garland during her final years, a role that earned her widespread acclaim and major acting awards.
- 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: Ruthie Triple: [Ruthie Joad, givenName, Ruthie]
Generated description
Ruthie is a young member of the Joad family in John Steinbeck’s novel "The Grapes of Wrath."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruthie Target entity description: Ruthie is a young member of the Joad family in John Steinbeck’s novel "The Grapes of Wrath."
-
A.
Judy
Judy is the familiar nickname of Judy Agnew, who was the Second Lady of the United States during Spiro Agnew’s vice presidency.
-
B.
Judy
Judy is a central teenage character in the film "Rebel Without a Cause," known for her complex relationship with her parents and her emotional bond with Jim Stark.
-
C.
Judy
"Judy" is a multimedia artwork by American contemporary artist Tony Oursler, known for its experimental use of video projection and sculptural elements to explore psychological and technological themes.
-
D.
Judy
"Judy" is a 2019 biographical drama film in which Renée Zellweger portrays legendary entertainer Judy Garland during her final years, a role that earned her widespread acclaim and major acting awards.
-
E.
Judy
Judy is a character in the 2014 British apocalyptic comedy film "The Second Coming."
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904423dc08190a47194422255c62e |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a66711481909fe0b0d3b2934601 |
completed | May 2, 2026, 2:29 p.m. |
| NEDg | Description generation | batch_69f60bda16e48190af8abc0aa8ef41f0 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60cd51d34819099927fee476958ea |
completed | May 2, 2026, 2:40 p.m. |
Created at: April 8, 2026, 9:48 p.m.