Triple
T4459722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special ID |
E98221
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Ardy Lam
Ardy Lam is a cinematographer known for his work behind the camera on film and visual media projects.
|
E443049
|
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: Ardy Lam | Statement: [Special ID, cinematographyBy, Ardy Lam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ardy Lam Context triple: [Special ID, cinematographyBy, Ardy Lam]
-
A.
Lolo Soetoro
Lolo Soetoro was an Indonesian geographer and government official best known as the stepfather of U.S. President Barack Obama.
-
B.
Crispin Sorhaindo
Crispin Sorhaindo was a Dominican politician who served as President of the Commonwealth of Dominica in the 1990s.
-
C.
Kali Ngrowo
Kali Ngrowo is a significant river in East Java, Indonesia, known as one of the main waterways feeding the Brantas River system.
-
D.
Shalin Zulkifli
Shalin Zulkifli is a Malaysian ten-pin bowling champion renowned for her numerous international titles and contributions to the sport in Malaysia.
-
E.
Jetta Goudal
Jetta Goudal was a prominent Dutch-born silent film actress of the 1920s known for her exotic screen presence and dramatic roles in Hollywood cinema.
- 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: Ardy Lam Triple: [Special ID, cinematographyBy, Ardy Lam]
Generated description
Ardy Lam is a cinematographer known for his work behind the camera on film and visual media projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ardy Lam Target entity description: Ardy Lam is a cinematographer known for his work behind the camera on film and visual media projects.
-
A.
Lolo Soetoro
Lolo Soetoro was an Indonesian geographer and government official best known as the stepfather of U.S. President Barack Obama.
-
B.
Crispin Sorhaindo
Crispin Sorhaindo was a Dominican politician who served as President of the Commonwealth of Dominica in the 1990s.
-
C.
Kali Ngrowo
Kali Ngrowo is a significant river in East Java, Indonesia, known as one of the main waterways feeding the Brantas River system.
-
D.
Shalin Zulkifli
Shalin Zulkifli is a Malaysian ten-pin bowling champion renowned for her numerous international titles and contributions to the sport in Malaysia.
-
E.
Jetta Goudal
Jetta Goudal was a prominent Dutch-born silent film actress of the 1920s known for her exotic screen presence and dramatic roles in Hollywood cinema.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3567184f481908a2787e4ac9bb345 |
completed | March 13, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6284431c48190aa1553ff89f2239f |
completed | March 15, 2026, 3:32 a.m. |
| NEDg | Description generation | batch_69b629532cac8190b959adc0ef13305a |
completed | March 15, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b62d9c287c8190a305f9d21517f913 |
completed | March 15, 2026, 3:55 a.m. |
Created at: March 12, 2026, 11:33 p.m.