Triple
T3461764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Learned |
E73040
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Hothouse
Hothouse is an American television drama series from the late 1980s in which Michael Learned starred as a psychiatrist working in a psychiatric hospital.
|
E359278
|
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: Hothouse | Statement: [Michael Learned, notableWork, Hothouse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hothouse Context triple: [Michael Learned, notableWork, Hothouse]
-
A.
The Hothouse
The Hothouse is a darkly comic stage play by Harold Pinter that satirizes bureaucratic power and institutional cruelty within a mysterious government-run facility.
-
B.
The Maw
The Maw is a perilous endgame zone in World of Warcraft: Shadowlands, serving as the inescapable prison of the most wicked souls and the domain of the Jailer.
-
C.
Moonrakers
Moonrakers is a traditional nickname for the inhabitants of Slaithwaite, a village in West Yorkshire, England.
-
D.
Into the Badlands
Into the Badlands is a post-apocalyptic martial arts television series known for its stylized fight choreography and feudal, dystopian setting.
-
E.
Cold World
Cold World is a track from GZA's critically acclaimed hip-hop album "Liquid Swords," known for its dark, atmospheric production and intricate lyricism.
- 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: Hothouse Triple: [Michael Learned, notableWork, Hothouse]
Generated description
Hothouse is an American television drama series from the late 1980s in which Michael Learned starred as a psychiatrist working in a psychiatric hospital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hothouse Target entity description: Hothouse is an American television drama series from the late 1980s in which Michael Learned starred as a psychiatrist working in a psychiatric hospital.
-
A.
The Hothouse
The Hothouse is a darkly comic stage play by Harold Pinter that satirizes bureaucratic power and institutional cruelty within a mysterious government-run facility.
-
B.
The Maw
The Maw is a perilous endgame zone in World of Warcraft: Shadowlands, serving as the inescapable prison of the most wicked souls and the domain of the Jailer.
-
C.
Moonrakers
Moonrakers is a traditional nickname for the inhabitants of Slaithwaite, a village in West Yorkshire, England.
-
D.
Into the Badlands
Into the Badlands is a post-apocalyptic martial arts television series known for its stylized fight choreography and feudal, dystopian setting.
-
E.
Cold World
Cold World is a track from GZA's critically acclaimed hip-hop album "Liquid Swords," known for its dark, atmospheric production and intricate lyricism.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbae745e081909007cd3a664c57f3 |
completed | March 8, 2026, 6:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3611ff950819081b49f5c75aa6e4d |
completed | March 13, 2026, 12:58 a.m. |
| NEDg | Description generation | batch_69b3629f2e54819091b38de147996782 |
completed | March 13, 2026, 1:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3630f5628819080ab239790cf4f4d |
completed | March 13, 2026, 1:06 a.m. |
Created at: March 8, 2026, 3:17 p.m.