Triple
T13481509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucky Lady |
E318382
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Walker Ellis
Walker Ellis is a fictional character from the work "Lucky Lady," likely involved in its central narrative or themes.
|
E1043070
|
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: Walker Ellis | Statement: [Lucky Lady, hasCharacter, Walker Ellis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walker Ellis Context triple: [Lucky Lady, hasCharacter, Walker Ellis]
-
A.
B. J. Ward
B. J. Ward is an American voice actress and singer known for her extensive work in animated television series and films.
-
B.
Scott Boone
Scott Boone is a relatively obscure individual whose primary public mention is as a namesake associated with the surname Boone.
-
C.
Joshua Bates
Joshua Bates was a 19th-century American financier and philanthropist whose major donations helped establish and endow the Boston Public Library.
-
D.
Robert James Waller
Robert James Waller was an American author and photographer best known for writing the bestselling romantic novel "The Bridges of Madison County."
-
E.
Timothy Mosley
Timothy Mosley, better known as Timbaland, is an influential American record producer, rapper, and songwriter renowned for his innovative, genre-shaping work in hip-hop and R&B.
- 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: Walker Ellis Triple: [Lucky Lady, hasCharacter, Walker Ellis]
Generated description
Walker Ellis is a fictional character from the work "Lucky Lady," likely involved in its central narrative or themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Walker Ellis Target entity description: Walker Ellis is a fictional character from the work "Lucky Lady," likely involved in its central narrative or themes.
-
A.
B. J. Ward
B. J. Ward is an American voice actress and singer known for her extensive work in animated television series and films.
-
B.
Scott Boone
Scott Boone is a relatively obscure individual whose primary public mention is as a namesake associated with the surname Boone.
-
C.
Joshua Bates
Joshua Bates was a 19th-century American financier and philanthropist whose major donations helped establish and endow the Boston Public Library.
-
D.
Robert James Waller
Robert James Waller was an American author and photographer best known for writing the bestselling romantic novel "The Bridges of Madison County."
-
E.
Timothy Mosley
Timothy Mosley, better known as Timbaland, is an influential American record producer, rapper, and songwriter renowned for his innovative, genre-shaping work in hip-hop and R&B.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf36c6b08190ba99400600e0b662 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74635145c8190a42199fe4ed8c2a5 |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f748dfd4f081908fd5d77fe70f9db4 |
completed | May 3, 2026, 1:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74965c53081909c662f7f991849bf |
completed | May 3, 2026, 1:11 p.m. |
Created at: April 9, 2026, 9:42 p.m.