Triple
T20408898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amused to Death |
E500537
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Watching TV
"Watching TV" is a track from Roger Waters' concept album *Amused to Death*, reflecting his critical themes about mass media and modern society.
|
E1429433
|
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: Watching TV | Statement: [Amused to Death, hasPart, Watching TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watching TV Context triple: [Amused to Death, hasPart, Watching TV]
-
A.
TV
TV is Apple’s media playback and streaming application for watching movies, TV shows, and other video content across Apple devices.
-
B.
T.V.
T.V. is one of the hybrid rainbow-unicorn and dog children of Lady Rainicorn and Jake in the animated series "Adventure Time."
-
C.
This TV
This TV is an American digital multicast television network known for airing a wide selection of feature films and classic television programming.
-
D.
The TV Set
The TV Set is a 2006 satirical comedy film about the compromises and absurdities of developing a television pilot within the Hollywood network system.
-
E.
How to Watch Television
"How to Watch Television" is a satirical essay by Umberto Eco that humorously dissects the habits and passive consumption associated with watching TV.
- 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: Watching TV Triple: [Amused to Death, hasPart, Watching TV]
Generated description
"Watching TV" is a track from Roger Waters' concept album *Amused to Death*, reflecting his critical themes about mass media and modern society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Watching TV Target entity description: "Watching TV" is a track from Roger Waters' concept album *Amused to Death*, reflecting his critical themes about mass media and modern society.
-
A.
TV
TV is Apple’s media playback and streaming application for watching movies, TV shows, and other video content across Apple devices.
-
B.
T.V.
T.V. is one of the hybrid rainbow-unicorn and dog children of Lady Rainicorn and Jake in the animated series "Adventure Time."
-
C.
This TV
This TV is an American digital multicast television network known for airing a wide selection of feature films and classic television programming.
-
D.
The TV Set
The TV Set is a 2006 satirical comedy film about the compromises and absurdities of developing a television pilot within the Hollywood network system.
-
E.
How to Watch Television
"How to Watch Television" is a satirical essay by Umberto Eco that humorously dissects the habits and passive consumption associated with watching TV.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3d03ac81908f37b907ccbb5088 |
completed | April 20, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087b1ff45881909ac8dbea28422624 |
completed | May 16, 2026, 2:11 p.m. |
| NEDg | Description generation | batch_6a088015c514819087967845614dd25d |
completed | May 16, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0880b79edc81908b180db5338f57db |
completed | May 16, 2026, 2:35 p.m. |
Created at: April 16, 2026, 11:29 a.m.