Triple
T3659852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor Who comic strips |
E77621
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
TV Action
TV Action was a British weekly comic magazine known for publishing adventure and science fiction strips based on popular television series.
|
E378467
|
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: TV Action | Statement: [Doctor Who comic strips, publisher, TV Action]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TV Action Context triple: [Doctor Who comic strips, publisher, TV Action]
-
A.
.tv
.tv is the country-code top-level domain originally assigned to Tuvalu that has become popular worldwide for websites related to television and video content.
-
B.
ThisTV Network
ThisTV Network is a U.S. digital multicast television network known for airing a wide selection of classic movies and television series.
-
C.
TVF
TVF is the ICAO airline designator used for Transavia France, a French low-cost carrier.
-
D.
TV Land
TV Land is an American cable television network known for airing classic television series and original sitcoms aimed primarily at adult audiences.
-
E.
NOW TV
NOW TV is a subscription-based streaming television service offering on-demand movies, entertainment, and sports content, primarily in the UK and Ireland.
- 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: TV Action Triple: [Doctor Who comic strips, publisher, TV Action]
Generated description
TV Action was a British weekly comic magazine known for publishing adventure and science fiction strips based on popular television series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TV Action Target entity description: TV Action was a British weekly comic magazine known for publishing adventure and science fiction strips based on popular television series.
-
A.
.tv
.tv is the country-code top-level domain originally assigned to Tuvalu that has become popular worldwide for websites related to television and video content.
-
B.
ThisTV Network
ThisTV Network is a U.S. digital multicast television network known for airing a wide selection of classic movies and television series.
-
C.
TVF
TVF is the ICAO airline designator used for Transavia France, a French low-cost carrier.
-
D.
TV Land
TV Land is an American cable television network known for airing classic television series and original sitcoms aimed primarily at adult audiences.
-
E.
NOW TV
NOW TV is a subscription-based streaming television service offering on-demand movies, entertainment, and sports content, primarily in the UK and Ireland.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d5e5f881909c7c105827d41071 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48842b28881908c6a077cfaa8b092 |
completed | March 13, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_69b48e0d2cfc8190b55d8060cc092411 |
completed | March 13, 2026, 10:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4b96e73fc8190aa11d1e1a06d5c25 |
completed | March 14, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:25 p.m.