Triple
T11473763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chopped |
E271973
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Notional
Notional is a television production company known for creating and developing original unscripted and reality programming.
|
E927446
|
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: Notional | Statement: [Chopped, productionCompany, Notional]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Notional Context triple: [Chopped, productionCompany, Notional]
-
A.
Nonso
Nonso is a masculine given name of Igbo origin, commonly used in Nigeria and among the Igbo diaspora.
-
B.
Nomalizo
Nomalizo is a feminine given name of African origin, notably borne by Nomalizo Leah Tutu, the South African activist and wife of Archbishop Desmond Tutu.
-
C.
Noth
Noth is a surname most prominently associated with American actor Chris Noth, known for his roles in television series such as "Sex and the City" and "Law & Order."
-
D.
Sental
Sental is a popular dive site off the coast of Nusa Penida, Indonesia, known for its clear waters, healthy coral reefs, and frequent sightings of pelagic marine life.
-
E.
Nastik
Nastik is a Hindi-language Indian film best known as a notable work of actor-filmmaker I. S. Johar.
- 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: Notional Triple: [Chopped, productionCompany, Notional]
Generated description
Notional is a television production company known for creating and developing original unscripted and reality programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Notional Target entity description: Notional is a television production company known for creating and developing original unscripted and reality programming.
-
A.
Nonso
Nonso is a masculine given name of Igbo origin, commonly used in Nigeria and among the Igbo diaspora.
-
B.
Nomalizo
Nomalizo is a feminine given name of African origin, notably borne by Nomalizo Leah Tutu, the South African activist and wife of Archbishop Desmond Tutu.
-
C.
Noth
Noth is a surname most prominently associated with American actor Chris Noth, known for his roles in television series such as "Sex and the City" and "Law & Order."
-
D.
Sental
Sental is a popular dive site off the coast of Nusa Penida, Indonesia, known for its clear waters, healthy coral reefs, and frequent sightings of pelagic marine life.
-
E.
Nastik
Nastik is a Hindi-language Indian film best known as a notable work of actor-filmmaker I. S. Johar.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294b3f388190a587c358313f7260 |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e95a479c81909a330c9721bd3902 |
completed | April 20, 2026, 8:52 a.m. |
| NEDg | Description generation | batch_69e5f15a50b881908d0930021833ae74 |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f88f16748190826a7fc5d27019d7 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 8, 2026, 9:35 p.m.