Triple
T4424869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLIP |
E95184
|
entity |
| Predicate | introducedBy |
P513
|
FINISHED |
| Object |
Gabriel Goh
Gabriel Goh is a machine learning researcher known for his work at OpenAI, including co-developing the CLIP model for connecting images and text.
|
E437212
|
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: Gabriel Goh | Statement: [CLIP, introducedBy, Gabriel Goh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabriel Goh Context triple: [CLIP, introducedBy, Gabriel Goh]
-
A.
Vincent Tan
Vincent Tan is a Malaysian billionaire businessman and investor best known for owning multiple football clubs, including Cardiff City FC, and for founding the Berjaya Corporation conglomerate.
-
B.
Ken Seng
Ken Seng is a cinematographer known for his visually distinctive work on films such as "Obsessed."
-
C.
Christopher Chung
Christopher Chung is an actor known for his role in the British spy drama series "Slow Horses."
-
D.
Jason Wong
Jason Wong is a British actor known for his roles in film and television, including his appearance in Guy Ritchie's crime-comedy series "The Gentlemen."
-
E.
Joey Chin
Joey Chin is an actor best known for his role in the 1990 crime film "King of New York."
- 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: Gabriel Goh Triple: [CLIP, introducedBy, Gabriel Goh]
Generated description
Gabriel Goh is a machine learning researcher known for his work at OpenAI, including co-developing the CLIP model for connecting images and text.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gabriel Goh Target entity description: Gabriel Goh is a machine learning researcher known for his work at OpenAI, including co-developing the CLIP model for connecting images and text.
-
A.
Vincent Tan
Vincent Tan is a Malaysian billionaire businessman and investor best known for owning multiple football clubs, including Cardiff City FC, and for founding the Berjaya Corporation conglomerate.
-
B.
Ken Seng
Ken Seng is a cinematographer known for his visually distinctive work on films such as "Obsessed."
-
C.
Christopher Chung
Christopher Chung is an actor known for his role in the British spy drama series "Slow Horses."
-
D.
Jason Wong
Jason Wong is a British actor known for his roles in film and television, including his appearance in Guy Ritchie's crime-comedy series "The Gentlemen."
-
E.
Joey Chin
Joey Chin is an actor best known for his role in the 1990 crime film "King of New York."
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554ca5208190ba2661616dcf071c |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f62f7eb88190a02669845126e790 |
completed | March 14, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69b5f6c8a58481908d7bd3d4cfaf265c |
completed | March 15, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5f73f38d481908ad44dfd33de85ca |
completed | March 15, 2026, 12:03 a.m. |
Created at: March 12, 2026, 11:30 p.m.