Triple
T14593283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gogglebox |
E342498
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Stephen Lambert
Stephen Lambert is a British television producer and executive known for creating popular reality and factual entertainment formats such as "Gogglebox."
|
E1109433
|
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: Stephen Lambert | Statement: [Gogglebox, creator, Stephen Lambert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Lambert Context triple: [Gogglebox, creator, Stephen Lambert]
-
A.
Scott Lambert
Scott Lambert is a film producer known for his work on the drama film "North Country."
-
B.
Scott Lambert
Scott Lambert is a film and television producer known for his work on projects such as the movie "The Silence."
-
C.
Scott Lambert
Scott Lambert is a film producer known for his work on acclaimed projects including the psychological drama "Tár."
-
D.
Gary Lambert
Gary Lambert is a central figure in Jonathan Franzen's novel "The Corrections," portrayed as an anxious, financially driven Midwestern son struggling with family expectations and personal dissatisfaction.
-
E.
Michael Harnett
Michael Harnett is the birth name of Michael Hartnett, a prominent Irish poet known for his lyrical work in both English and Irish.
- 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: Stephen Lambert Triple: [Gogglebox, creator, Stephen Lambert]
Generated description
Stephen Lambert is a British television producer and executive known for creating popular reality and factual entertainment formats such as "Gogglebox."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen Lambert Target entity description: Stephen Lambert is a British television producer and executive known for creating popular reality and factual entertainment formats such as "Gogglebox."
-
A.
Scott Lambert
Scott Lambert is a film producer known for his work on the drama film "North Country."
-
B.
Scott Lambert
Scott Lambert is a film and television producer known for his work on projects such as the movie "The Silence."
-
C.
Scott Lambert
Scott Lambert is a film producer known for his work on acclaimed projects including the psychological drama "Tár."
-
D.
Gary Lambert
Gary Lambert is a central figure in Jonathan Franzen's novel "The Corrections," portrayed as an anxious, financially driven Midwestern son struggling with family expectations and personal dissatisfaction.
-
E.
Michael Harnett
Michael Harnett is the birth name of Michael Hartnett, a prominent Irish poet known for his lyrical work in both English and Irish.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43480d8819084a707e56da2c237 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda918542c819099646943be59dd04 |
completed | May 8, 2026, 9:12 a.m. |
| NEDg | Description generation | batch_69fdaed912d4819088c4b96c56187044 |
completed | May 8, 2026, 9:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdaf8104588190b76ff363367b8f78 |
completed | May 8, 2026, 9:40 a.m. |
Created at: April 10, 2026, 1:24 a.m.