Triple
T17024660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Lin |
E413031
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
He Never Gives Up
"He Never Gives Up" is a Taiwanese film best known as one of the notable works in the career of actress Joan Lin.
|
E1246355
|
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: He Never Gives Up | Statement: [Joan Lin, notableWork, He Never Gives Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: He Never Gives Up Context triple: [Joan Lin, notableWork, He Never Gives Up]
-
A.
Never Givin’ Up
"Never Givin’ Up" is a song featured on Aaliyah’s debut album "One in a Million."
-
B.
Never Give Up
"Never Give Up" is a song by the Japanese pop duo Harmonize, recognized as one of their standout works.
-
C.
Don’t Give Up
"Don’t Give Up" is a poignant 1986 duet by Peter Gabriel and Kate Bush that blends art rock and pop to explore themes of despair, resilience, and emotional support.
-
D.
Never Surrender
"Never Surrender" is a motivational hip-hop track by DJ Khaled featuring multiple guest artists, known for its themes of perseverance and resilience.
-
E.
Never Give Up on a Good Thing
"Never Give Up on a Good Thing" is an upbeat R&B-influenced pop song by American jazz and soul guitarist-vocalist George Benson, known for its optimistic lyrics and smooth, radio-friendly sound.
- 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: He Never Gives Up Triple: [Joan Lin, notableWork, He Never Gives Up]
Generated description
"He Never Gives Up" is a Taiwanese film best known as one of the notable works in the career of actress Joan Lin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: He Never Gives Up Target entity description: "He Never Gives Up" is a Taiwanese film best known as one of the notable works in the career of actress Joan Lin.
-
A.
Never Givin’ Up
"Never Givin’ Up" is a song featured on Aaliyah’s debut album "One in a Million."
-
B.
Never Give Up
"Never Give Up" is a song by the Japanese pop duo Harmonize, recognized as one of their standout works.
-
C.
Don’t Give Up
"Don’t Give Up" is a poignant 1986 duet by Peter Gabriel and Kate Bush that blends art rock and pop to explore themes of despair, resilience, and emotional support.
-
D.
Never Surrender
"Never Surrender" is a motivational hip-hop track by DJ Khaled featuring multiple guest artists, known for its themes of perseverance and resilience.
-
E.
Never Give Up on a Good Thing
"Never Give Up on a Good Thing" is an upbeat R&B-influenced pop song by American jazz and soul guitarist-vocalist George Benson, known for its optimistic lyrics and smooth, radio-friendly sound.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d371148190a60d32a72abec09a |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b53306081908972a0a5db474b6c |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011cfb74b88190bbd5af862727790f |
completed | May 11, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011dad838c8190a1ea560680c9ca57 |
completed | May 11, 2026, 12:07 a.m. |
Created at: April 10, 2026, 5:33 a.m.