Triple
T15308116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabonne Shire |
E365955
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object |
Larras Lee
Larras Lee is a rural locality in the Cabonne Shire region of New South Wales, Australia.
|
E1149561
|
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: Larras Lee | Statement: [Cabonne Shire, hasLocality, Larras Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larras Lee Context triple: [Cabonne Shire, hasLocality, Larras Lee]
-
A.
Jae Lee
Jae Lee is a distinctive comic book artist known for his dark, atmospheric style on titles such as Marvel’s Inhumans and various Batman and Superman projects.
-
B.
Michele Lee
Michele Lee is an American actress and singer best known for her long-running role as Karen MacKenzie on the prime-time soap opera "Knots Landing."
-
C.
Michele Lee
Michele Lee is a screenwriter best known for co-writing the comedy film "The Pink Panther 2."
-
D.
Jin Lee
Jin Lee is the gentle, supportive father of protagonist Meilin "Mei" Lee in Pixar's animated film "Turning Red."
-
E.
Wendee Lee
Wendee Lee is an American voice actress best known for her prolific work in English-dubbed anime and video games, including iconic roles such as Faye Valentine in Cowboy Bebop.
- 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: Larras Lee Triple: [Cabonne Shire, hasLocality, Larras Lee]
Generated description
Larras Lee is a rural locality in the Cabonne Shire region of New South Wales, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Larras Lee Target entity description: Larras Lee is a rural locality in the Cabonne Shire region of New South Wales, Australia.
-
A.
Jae Lee
Jae Lee is a distinctive comic book artist known for his dark, atmospheric style on titles such as Marvel’s Inhumans and various Batman and Superman projects.
-
B.
Michele Lee
Michele Lee is an American actress and singer best known for her long-running role as Karen MacKenzie on the prime-time soap opera "Knots Landing."
-
C.
Michele Lee
Michele Lee is a screenwriter best known for co-writing the comedy film "The Pink Panther 2."
-
D.
Jin Lee
Jin Lee is the gentle, supportive father of protagonist Meilin "Mei" Lee in Pixar's animated film "Turning Red."
-
E.
Wendee Lee
Wendee Lee is an American voice actress best known for her prolific work in English-dubbed anime and video games, including iconic roles such as Faye Valentine in Cowboy Bebop.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd001b48190bbdd69337efdb907 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef89feda88190b18f6a03d6e968aa |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefa13e8508190930a22439b7f154a |
completed | May 9, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefa80be14819089e87e7bdb3af7ec |
completed | May 9, 2026, 9:12 a.m. |
Created at: April 10, 2026, 3:16 a.m.