Triple
T15035361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Power of the Daleks |
E378464
|
entity |
| Predicate | productionCode |
P45885
|
FINISHED |
| Object |
EE
EE is the internal BBC production code assigned to the classic Doctor Who serial "The Power of the Daleks."
|
E1133507
|
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: EE | Statement: [The Power of the Daleks, productionCode, EE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EE Context triple: [The Power of the Daleks, productionCode, EE]
-
A.
EE
EE is a major British mobile network operator and internet service provider known for its extensive 4G and 5G coverage across the UK.
-
B.
EE
The EE was a former New York City Subway service that operated on the BMT Broadway Line, primarily providing local service in Manhattan and Queens before being discontinued.
-
C.
EE
EE is the two-letter country code for Estonia, a Northern European nation on the Baltic Sea.
-
D.
EEE
EEE is the internal BBC production code assigned to the Doctor Who serial "Terror of the Autons."
-
E.
EEE
EEE is the School of Electrical and Electronic Engineering at Nanyang Technological University, a leading institution for education and research in electrical and electronic engineering.
- 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: EE Triple: [The Power of the Daleks, productionCode, EE]
Generated description
EE is the internal BBC production code assigned to the classic Doctor Who serial "The Power of the Daleks."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EE Target entity description: EE is the internal BBC production code assigned to the classic Doctor Who serial "The Power of the Daleks."
-
A.
EE
EE is a major British mobile network operator and internet service provider known for its extensive 4G and 5G coverage across the UK.
-
B.
EE
The EE was a former New York City Subway service that operated on the BMT Broadway Line, primarily providing local service in Manhattan and Queens before being discontinued.
-
C.
EE
EE is the two-letter country code for Estonia, a Northern European nation on the Baltic Sea.
-
D.
EEE
EEE is the internal BBC production code assigned to the Doctor Who serial "Terror of the Autons."
-
E.
EEE
EEE is the School of Electrical and Electronic Engineering at Nanyang Technological University, a leading institution for education and research in electrical and electronic engineering.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82b29948190acda49cbec3f927a |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dddd0208190b2dac7a078de2931 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9f58e39081909be07cda05484fb3 |
completed | May 9, 2026, 2:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9ff62eb081908e170e099c99283b |
completed | May 9, 2026, 2:46 a.m. |
Created at: April 10, 2026, 2:59 a.m.