Triple
T16237671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babel Tower |
E394156
|
entity |
| Predicate | containsFictionalWork |
P31994
|
FINISHED |
| Object |
Babbletower
Babbletower is a fictional work set within the universe of the Babel Tower series.
|
E1202797
|
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: Babbletower | Statement: [Babel Tower, containsFictionalWork, Babbletower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Babbletower Context triple: [Babel Tower, containsFictionalWork, Babbletower]
-
A.
Bable
Bable is another name for the Asturian language, a Romance language spoken primarily in the Asturias region of northern Spain.
-
B.
The Chatterbox
"The Chatterbox" is a film best known for featuring American comic actress Polly Moran in one of her notable screen roles.
-
C.
Tower of Voices
The Tower of Voices is a monumental outdoor musical structure at the Flight 93 National Memorial that commemorates the passengers and crew of United Flight 93 through a ring of wind-activated chimes.
-
D.
Vabysmo
Vabysmo is the brand name for faricimab, an injectable eye medication used to treat retinal diseases such as neovascular (wet) age-related macular degeneration and diabetic macular edema.
-
E.
Rhypes
Rhypes was an ancient Greek city in Achaea, traditionally known as the hometown of the mythic founder Myskellos.
- 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: Babbletower Triple: [Babel Tower, containsFictionalWork, Babbletower]
Generated description
Babbletower is a fictional work set within the universe of the Babel Tower series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Babbletower Target entity description: Babbletower is a fictional work set within the universe of the Babel Tower series.
-
A.
Bable
Bable is another name for the Asturian language, a Romance language spoken primarily in the Asturias region of northern Spain.
-
B.
The Chatterbox
"The Chatterbox" is a film best known for featuring American comic actress Polly Moran in one of her notable screen roles.
-
C.
Tower of Voices
The Tower of Voices is a monumental outdoor musical structure at the Flight 93 National Memorial that commemorates the passengers and crew of United Flight 93 through a ring of wind-activated chimes.
-
D.
Vabysmo
Vabysmo is the brand name for faricimab, an injectable eye medication used to treat retinal diseases such as neovascular (wet) age-related macular degeneration and diabetic macular edema.
-
E.
Rhypes
Rhypes was an ancient Greek city in Achaea, traditionally known as the hometown of the mythic founder Myskellos.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2455bb23881909c4cb4c1439d2bc5 |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000edaf76c8190acc01f58845e570a |
completed | May 10, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_6a0011f7f3fc8190a3a3bf260b391e78 |
completed | May 10, 2026, 5:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0012e9913481908ee5ada2fce507f4 |
completed | May 10, 2026, 5:08 a.m. |
Created at: April 10, 2026, 5:04 a.m.