Triple
T14017204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Neversink, New York |
E337233
|
entity |
| Predicate | submergedCommunity |
P13850
|
FINISHED |
| Object |
Bittersweet
Bittersweet was a small New York community that was permanently flooded and abandoned during the creation of the Neversink Reservoir.
|
E1073341
|
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: Bittersweet | Statement: [Town of Neversink, New York, submergedCommunity, Bittersweet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bittersweet Context triple: [Town of Neversink, New York, submergedCommunity, Bittersweet]
-
A.
Bittersweet
"Bittersweet" is a graphic art book by illustrator Noma Bar, showcasing his distinctive use of negative space and bold, minimalist imagery.
-
B.
Bittersweet
"Bittersweet" is a Grammy-winning R&B ballad by Fantasia Barrino that reflects on the lingering emotions of a past relationship.
-
C.
Bittersweet
Bittersweet is a studio album by Australian country singer-songwriter Kasey Chambers, noted for its emotionally rich songwriting and roots-influenced sound.
-
D.
Bittersweet
"Bittersweet" is a song featured on James Taylor's 2002 studio album "October Road."
-
E.
Bitter Sweet
"Bitter Sweet" is a soul and R&B album by The Main Ingredient, showcasing the group's smooth harmonies and early-1970s sound.
- 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: Bittersweet Triple: [Town of Neversink, New York, submergedCommunity, Bittersweet]
Generated description
Bittersweet was a small New York community that was permanently flooded and abandoned during the creation of the Neversink Reservoir.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bittersweet Target entity description: Bittersweet was a small New York community that was permanently flooded and abandoned during the creation of the Neversink Reservoir.
-
A.
Bittersweet
"Bittersweet" is a Grammy-winning R&B ballad by Fantasia Barrino that reflects on the lingering emotions of a past relationship.
-
B.
Bittersweet
"Bittersweet" is a graphic art book by illustrator Noma Bar, showcasing his distinctive use of negative space and bold, minimalist imagery.
-
C.
Bittersweet
Bittersweet is a studio album by Australian country singer-songwriter Kasey Chambers, noted for its emotionally rich songwriting and roots-influenced sound.
-
D.
Bittersweet
"Bittersweet" is a song featured on James Taylor's 2002 studio album "October Road."
-
E.
Bitter Sweet
"Bitter Sweet" is a soul and R&B album by The Main Ingredient, showcasing the group's smooth harmonies and early-1970s sound.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3b5b088190a58715779d2c46a6 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacad948c81909db7187da5a9b97d |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbae186bb881908ea17ae6b12825af |
completed | May 6, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaebaab508190a609fa151c686a0d |
completed | May 6, 2026, 9:12 p.m. |
Created at: April 9, 2026, 10:19 p.m.