Triple
T16105956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Better Luck Tomorrow |
E390738
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Jason Tobin
Jason Tobin is a British Hong Kong actor best known for his roles in the film "Better Luck Tomorrow" and the television series "Warrior."
|
E1195147
|
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: Jason Tobin | Statement: [Better Luck Tomorrow, castMember, Jason Tobin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Tobin Context triple: [Better Luck Tomorrow, castMember, Jason Tobin]
-
A.
Josh Tobin
Josh Tobin is a machine learning researcher known for his work on deep reinforcement learning, including co-developing the Hindsight Experience Replay technique.
-
B.
Jason Bittner
Jason Bittner is an American heavy metal drummer best known for his work with the band Shadows Fall and his highly technical, influential playing style.
-
C.
Matthew Tobin
Matthew Tobin is an actor known for his role in the film "Real Life."
-
D.
Brian McMahan
Brian McMahan is an American guitarist and vocalist best known as a founding member of the influential post-rock band Slint.
-
E.
David Thoener
David Thoener is an American recording engineer and producer known for his work on major rock and pop albums by artists such as Aerosmith and Santana.
- 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: Jason Tobin Triple: [Better Luck Tomorrow, castMember, Jason Tobin]
Generated description
Jason Tobin is a British Hong Kong actor best known for his roles in the film "Better Luck Tomorrow" and the television series "Warrior."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jason Tobin Target entity description: Jason Tobin is a British Hong Kong actor best known for his roles in the film "Better Luck Tomorrow" and the television series "Warrior."
-
A.
Josh Tobin
Josh Tobin is a machine learning researcher known for his work on deep reinforcement learning, including co-developing the Hindsight Experience Replay technique.
-
B.
Jason Bittner
Jason Bittner is an American heavy metal drummer best known for his work with the band Shadows Fall and his highly technical, influential playing style.
-
C.
Matthew Tobin
Matthew Tobin is an actor known for his role in the film "Real Life."
-
D.
Brian McMahan
Brian McMahan is an American guitarist and vocalist best known as a founding member of the influential post-rock band Slint.
-
E.
David Thoener
David Thoener is an American recording engineer and producer known for his work on major rock and pop albums by artists such as Aerosmith and Santana.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6d81d081909e1315f4dbfd7369 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeba1e4c08190a90f5102e0038056 |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffed3d57388190a4d0faa58ee2a27b |
completed | May 10, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffedfb88a881909e6adbb3a372246b |
completed | May 10, 2026, 2:31 a.m. |
Created at: April 10, 2026, 5 a.m.