Triple
T12782823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lost in America |
E305548
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Linda Howard
Linda Howard is a fictional protagonist featured in the film "Lost in America."
|
E1002314
|
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: Linda Howard | Statement: [Lost in America, mainCharacter, Linda Howard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Howard Context triple: [Lost in America, mainCharacter, Linda Howard]
-
A.
Francine Rivers
Francine Rivers is a bestselling American author known for her inspirational Christian fiction novels, particularly "Redeeming Love."
-
B.
Patricia Terrill
Patricia Terrill is a central female character in the 1958 Western film "The Big Country," known for her romantic involvement with James McKay and her role in the story’s frontier family conflict.
-
C.
Catherine Block
Catherine Block is a historic building within the Peterhof Palace complex near St. Petersburg, Russia, originally designed as a residence associated with Empress Catherine I.
-
D.
Lucinda Riley
Lucinda Riley was a bestselling Irish author best known for her multi-volume historical fiction series "The Seven Sisters," which achieved international acclaim.
-
E.
Tasha Bertram
Tasha Bertram is a British woman known primarily as the mother of actor Thomas Brodie-Sangster.
- 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: Linda Howard Triple: [Lost in America, mainCharacter, Linda Howard]
Generated description
Linda Howard is a fictional protagonist featured in the film "Lost in America."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linda Howard Target entity description: Linda Howard is a fictional protagonist featured in the film "Lost in America."
-
A.
Francine Rivers
Francine Rivers is a bestselling American author known for her inspirational Christian fiction novels, particularly "Redeeming Love."
-
B.
Patricia Terrill
Patricia Terrill is a central female character in the 1958 Western film "The Big Country," known for her romantic involvement with James McKay and her role in the story’s frontier family conflict.
-
C.
Catherine Block
Catherine Block is a historic building within the Peterhof Palace complex near St. Petersburg, Russia, originally designed as a residence associated with Empress Catherine I.
-
D.
Lucinda Riley
Lucinda Riley was a bestselling Irish author best known for her multi-volume historical fiction series "The Seven Sisters," which achieved international acclaim.
-
E.
Tasha Bertram
Tasha Bertram is a British woman known primarily as the mother of actor Thomas Brodie-Sangster.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5b52048190b279b7ad066efe9f |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68504c95081909dc52cc02e43e8ba |
completed | May 2, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_69f687fffe9c81909c58129162a0c231 |
completed | May 2, 2026, 11:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f688cc57048190ba7bacdcd6c0c182 |
completed | May 2, 2026, 11:29 p.m. |
Created at: April 9, 2026, 5:29 p.m.