Triple
T14414246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dressmaker |
E357406
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Shane Bourne
Shane Bourne is an Australian actor and comedian known for his work in film, television, and stand-up comedy.
|
E1097099
|
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: Shane Bourne | Statement: [The Dressmaker, starring, Shane Bourne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shane Bourne Context triple: [The Dressmaker, starring, Shane Bourne]
-
A.
Shane Morris
Shane Morris is a screenwriter best known for co-writing the story for Disney's animated film "Frozen."
-
B.
Shane Fontayne
Shane Fontayne is a British rock guitarist and session musician best known for his work with artists such as Bruce Springsteen and Lone Justice.
-
C.
Shane Johnson
Shane Johnson is an American actor best known for his role as Cooper Saxe in the Power television franchise, including Power Book II: Ghost.
-
D.
Shane Galbraith
Shane Galbraith is an individual notable for bearing the Galbraith surname, though specific widely recognized public achievements or roles are not well documented.
-
E.
Shane Stevens
Shane Stevens was an American crime novelist known for his dark, psychologically complex thrillers, including the influential serial-killer novel "By Reason of Insanity."
- 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: Shane Bourne Triple: [The Dressmaker, starring, Shane Bourne]
Generated description
Shane Bourne is an Australian actor and comedian known for his work in film, television, and stand-up comedy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shane Bourne Target entity description: Shane Bourne is an Australian actor and comedian known for his work in film, television, and stand-up comedy.
-
A.
Shane Morris
Shane Morris is a screenwriter best known for co-writing the story for Disney's animated film "Frozen."
-
B.
Shane Fontayne
Shane Fontayne is a British rock guitarist and session musician best known for his work with artists such as Bruce Springsteen and Lone Justice.
-
C.
Shane Johnson
Shane Johnson is an American actor best known for his role as Cooper Saxe in the Power television franchise, including Power Book II: Ghost.
-
D.
Shane Galbraith
Shane Galbraith is an individual notable for bearing the Galbraith surname, though specific widely recognized public achievements or roles are not well documented.
-
E.
Shane Stevens
Shane Stevens was an American crime novelist known for his dark, psychologically complex thrillers, including the influential serial-killer novel "By Reason of Insanity."
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cc99208190a2313b1acfb5d802 |
completed | April 14, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd552a75ec8190b966d509d315ca60 |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd56844d7c8190906b6550fb1c28d5 |
completed | May 8, 2026, 3:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5731c9188190bda2958bef87dfe2 |
completed | May 8, 2026, 3:23 a.m. |
Created at: April 10, 2026, 1:17 a.m.