Triple
T10897654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maitreyi Ramakrishnan |
E257351
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object |
Lang Fisher
Lang Fisher is a television writer, producer, and co-creator of the Netflix teen comedy series "Never Have I Ever."
|
E896006
|
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: Lang Fisher | Statement: [Maitreyi Ramakrishnan, collaboratedWith, Lang Fisher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lang Fisher Context triple: [Maitreyi Ramakrishnan, collaboratedWith, Lang Fisher]
-
A.
Jeremy Fisher
Jeremy Fisher is a fictional frog who stars as the hapless, rain-loving angler in Beatrix Potter’s classic children’s story.
-
B.
Jonny Keeling
Jonny Keeling is a British television producer known for his work on major BBC natural history documentaries.
-
C.
Luke Davies
Luke Davies is an Australian poet, novelist, and screenwriter known for adapting acclaimed films such as "Lion" and "News of the World."
-
D.
Will Firth
Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
-
E.
Alfie Bass
Alfie Bass was a British character actor and comedian known for his prolific work in film, television, and theatre from the 1940s through the 1980s.
- 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: Lang Fisher Triple: [Maitreyi Ramakrishnan, collaboratedWith, Lang Fisher]
Generated description
Lang Fisher is a television writer, producer, and co-creator of the Netflix teen comedy series "Never Have I Ever."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lang Fisher Target entity description: Lang Fisher is a television writer, producer, and co-creator of the Netflix teen comedy series "Never Have I Ever."
-
A.
Jeremy Fisher
Jeremy Fisher is a fictional frog who stars as the hapless, rain-loving angler in Beatrix Potter’s classic children’s story.
-
B.
Jonny Keeling
Jonny Keeling is a British television producer known for his work on major BBC natural history documentaries.
-
C.
Luke Davies
Luke Davies is an Australian poet, novelist, and screenwriter known for adapting acclaimed films such as "Lion" and "News of the World."
-
D.
Will Firth
Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
-
E.
Alfie Bass
Alfie Bass was a British character actor and comedian known for his prolific work in film, television, and theatre from the 1940s through the 1980s.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d03a3fc81908df039b9b5ab9ca2 |
completed | April 9, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23b9e5ddc81908cbd27e8db49dbaf |
completed | April 17, 2026, 1:54 p.m. |
| NEDg | Description generation | batch_69e2453f6f008190847298f4006290f7 |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e288b1d64c8190b31313634b706d0a |
completed | April 17, 2026, 7:23 p.m. |
Created at: April 8, 2026, 9:21 p.m.