Triple
T14211498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Buildings |
E352242
|
entity |
| Predicate | hasPoem |
P21160
|
FINISHED |
| Object |
The Mermen
The Mermen is a poem featured in Hart Crane’s modernist poetry collection "White Buildings."
|
E1085901
|
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: The Mermen | Statement: [White Buildings, hasPoem, The Mermen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Mermen Context triple: [White Buildings, hasPoem, The Mermen]
-
A.
The Fews
The Fews is a historic region in County Armagh, Northern Ireland, traditionally associated with the Gaelic O'Neill dynasty.
-
B.
The Urchins
The Urchins are a trio of streetwise, Motown-style girl-group narrators who provide musical commentary and drive the story in the stage musical *Little Shop of Horrors*.
-
C.
River Slang
River Slang is a small river in County Dublin, Ireland, that flows through suburban areas before joining the River Dodder.
-
D.
Menomena
Menomena is an experimental indie rock band from Portland, Oregon, known for its inventive song structures, use of looping technology, and critically acclaimed albums on the Barsuk label.
-
E.
The Menzingers
The Menzingers are an American punk rock band known for their melodic, emotionally charged songs and storytelling lyrics.
- 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: The Mermen Triple: [White Buildings, hasPoem, The Mermen]
Generated description
The Mermen is a poem featured in Hart Crane’s modernist poetry collection "White Buildings."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Mermen Target entity description: The Mermen is a poem featured in Hart Crane’s modernist poetry collection "White Buildings."
-
A.
The Fews
The Fews is a historic region in County Armagh, Northern Ireland, traditionally associated with the Gaelic O'Neill dynasty.
-
B.
The Urchins
The Urchins are a trio of streetwise, Motown-style girl-group narrators who provide musical commentary and drive the story in the stage musical *Little Shop of Horrors*.
-
C.
River Slang
River Slang is a small river in County Dublin, Ireland, that flows through suburban areas before joining the River Dodder.
-
D.
Menomena
Menomena is an experimental indie rock band from Portland, Oregon, known for its inventive song structures, use of looping technology, and critically acclaimed albums on the Barsuk label.
-
E.
The Menzingers
The Menzingers are an American punk rock band known for their melodic, emotionally charged songs and storytelling lyrics.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de620dba0c8190bb77a1df10e1d3a7 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19574280819091bafd95a75983bf |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1a231cbc819083d38e25073892bf |
completed | May 7, 2026, 11:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1ada47788190afcf8078d76ef339 |
completed | May 7, 2026, 11:06 p.m. |
Created at: April 10, 2026, 1:05 a.m.