Triple
T10364881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intervention |
E244226
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Dan Partland
Dan Partland is a television and film producer and director known for his work on documentary and reality-based series.
|
E861444
|
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: Dan Partland | Statement: [Intervention, executiveProducer, Dan Partland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Partland Context triple: [Intervention, executiveProducer, Dan Partland]
-
A.
Ken Parry
Ken Parry was a British character actor known for his numerous supporting roles in film and television from the 1960s through the 1980s.
-
B.
Stan Cullimore
Stan Cullimore is an English guitarist and songwriter best known as a founding member of the 1980s indie pop band The Housemartins.
-
C.
Eric Crozier
Eric Crozier was a British theatrical director, producer, and writer best known for his close collaboration with composer Benjamin Britten on several operas.
-
D.
Ian Ritchie
Ian Ritchie is a British architect known for his innovative, high-tech designs and for leading the practice Ian Ritchie Architects.
-
E.
Graham Martin
Graham Martin was an American diplomat best known for serving as the last U.S. ambassador to South Vietnam during the final years of the Vietnam War.
- 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: Dan Partland Triple: [Intervention, executiveProducer, Dan Partland]
Generated description
Dan Partland is a television and film producer and director known for his work on documentary and reality-based series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Partland Target entity description: Dan Partland is a television and film producer and director known for his work on documentary and reality-based series.
-
A.
Ken Parry
Ken Parry was a British character actor known for his numerous supporting roles in film and television from the 1960s through the 1980s.
-
B.
Stan Cullimore
Stan Cullimore is an English guitarist and songwriter best known as a founding member of the 1980s indie pop band The Housemartins.
-
C.
Eric Crozier
Eric Crozier was a British theatrical director, producer, and writer best known for his close collaboration with composer Benjamin Britten on several operas.
-
D.
Ian Ritchie
Ian Ritchie is a British architect known for his innovative, high-tech designs and for leading the practice Ian Ritchie Architects.
-
E.
Graham Martin
Graham Martin was an American diplomat best known for serving as the last U.S. ambassador to South Vietnam during the final years of the Vietnam War.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e964a53c8190b748e80850e96656 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fb827cd4819094bead4304795c33 |
completed | April 9, 2026, 7:18 p.m. |
| NEDg | Description generation | batch_69d822d303888190aa556287b3b1cc03 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859b05a3881908c97cb173d160e44 |
completed | April 10, 2026, 2 a.m. |
Created at: April 6, 2026, noon