Triple
T1665199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haystacks series |
E35994
|
entity |
| Predicate | depicts |
P1581
|
FINISHED |
| Object |
haystacks
Haystacks are large, often conical piles of cut and dried grass or grain stalks traditionally stored outdoors as fodder or bedding on farms.
|
E188496
|
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: haystacks | Statement: [Haystacks series, depicts, haystacks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: haystacks Context triple: [Haystacks series, depicts, haystacks]
-
A.
Hay
Hay is a rural service town in the Riverina region of southwestern New South Wales, Australia, known for its agricultural production and historic role as a transport and wool-growing center.
-
B.
Harvest
Harvest is a 1972 folk-rock album by Neil Young, widely regarded as one of his signature works and a classic of the singer-songwriter era.
-
C.
hay market
A hay market is a traditional marketplace where farmers and traders historically gathered to buy and sell hay for livestock and other agricultural needs.
-
D.
Meadows
Meadows is a surname most prominently associated with Mark Meadows, a former White House Chief of Staff and U.S. congressman.
-
E.
Cailliau
Cailliau is the surname of Robert Cailliau, a Belgian computer scientist known for co-developing the World Wide Web.
- 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: haystacks Triple: [Haystacks series, depicts, haystacks]
Generated description
Haystacks are large, often conical piles of cut and dried grass or grain stalks traditionally stored outdoors as fodder or bedding on farms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: haystacks Target entity description: Haystacks are large, often conical piles of cut and dried grass or grain stalks traditionally stored outdoors as fodder or bedding on farms.
-
A.
Hay
Hay is a rural service town in the Riverina region of southwestern New South Wales, Australia, known for its agricultural production and historic role as a transport and wool-growing center.
-
B.
Harvest
Harvest is a 1972 folk-rock album by Neil Young, widely regarded as one of his signature works and a classic of the singer-songwriter era.
-
C.
hay market
A hay market is a traditional marketplace where farmers and traders historically gathered to buy and sell hay for livestock and other agricultural needs.
-
D.
Meadows
Meadows is a surname most prominently associated with Mark Meadows, a former White House Chief of Staff and U.S. congressman.
-
E.
Cailliau
Cailliau is the surname of Robert Cailliau, a Belgian computer scientist known for co-developing the World Wide Web.
- 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90adacf0481909fc2213567a4a8af |
completed | March 5, 2026, 4:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad682fd42881908ecd0f331e81aba8 |
completed | March 8, 2026, 12:14 p.m. |
| NEDg | Description generation | batch_69ad69c8af5481909d73d90e1dcaf560 |
completed | March 8, 2026, 12:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad6a4aebb88190a27350216add031b |
completed | March 8, 2026, 12:23 p.m. |
Created at: March 4, 2026, 7:29 p.m.