Triple
T16105958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Better Luck Tomorrow |
E390738
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Roger Fan
Roger Fan is an American actor best known for his roles in Asian American independent films and collaborations with director Justin Lin.
|
E1195148
|
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: Roger Fan | Statement: [Better Luck Tomorrow, castMember, Roger Fan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Fan Context triple: [Better Luck Tomorrow, castMember, Roger Fan]
-
A.
Greg Rama
Greg Rama is the son of Albanian Prime Minister and artist Edi Rama.
-
B.
Anthony Katagas
Anthony Katagas is an American film producer known for his work on acclaimed independent and studio films, including collaborations with prominent directors such as James Gray.
-
C.
Tom Guise
Tom Guise was an early 20th-century American film actor who appeared in silent-era productions.
-
D.
Joe Higashi
Joe Higashi is a Muay Thai kickboxer and energetic fighter from SNK’s Fatal Fury and The King of Fighters series, known for his flashy techniques and comedic personality.
-
E.
Roger Karoutchi
Roger Karoutchi is a French politician and long-serving senator known for his roles in government and leadership within France’s mainstream right.
- 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: Roger Fan Triple: [Better Luck Tomorrow, castMember, Roger Fan]
Generated description
Roger Fan is an American actor best known for his roles in Asian American independent films and collaborations with director Justin Lin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roger Fan Target entity description: Roger Fan is an American actor best known for his roles in Asian American independent films and collaborations with director Justin Lin.
-
A.
Greg Rama
Greg Rama is the son of Albanian Prime Minister and artist Edi Rama.
-
B.
Anthony Katagas
Anthony Katagas is an American film producer known for his work on acclaimed independent and studio films, including collaborations with prominent directors such as James Gray.
-
C.
Tom Guise
Tom Guise was an early 20th-century American film actor who appeared in silent-era productions.
-
D.
Joe Higashi
Joe Higashi is a Muay Thai kickboxer and energetic fighter from SNK’s Fatal Fury and The King of Fighters series, known for his flashy techniques and comedic personality.
-
E.
Roger Karoutchi
Roger Karoutchi is a French politician and long-serving senator known for his roles in government and leadership within France’s mainstream right.
- 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.