Triple
T8244815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horror Writers Association |
E192824
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
HWA
HWA is the commonly used acronym for the Horror Writers Association, an international organization dedicated to promoting and supporting creators of horror and dark fiction.
|
E721826
|
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: HWA | Statement: [Horror Writers Association, abbreviation, HWA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HWA Context triple: [Horror Writers Association, abbreviation, HWA]
-
A.
WHC
WHC is the commonly used abbreviation for UNESCO’s World Heritage Centre, the body responsible for coordinating the World Heritage Convention and managing the World Heritage List.
-
B.
WWA
WWA is the National Rail station code for Woolwich Arsenal railway station in southeast London.
-
C.
HWN
HWN is the National Rail station code for Harlow Town railway station in Essex, England.
-
D.
AWA
AWA is the commonly used abbreviation for the Animal Welfare Act, the primary U.S. federal law regulating the treatment of animals in research, exhibition, transport, and by dealers.
-
E.
W&A
W&A is the commonly used abbreviation for the Western and Atlantic Railroad, a historic rail line in the southeastern United States.
- 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: HWA Triple: [Horror Writers Association, abbreviation, HWA]
Generated description
HWA is the commonly used acronym for the Horror Writers Association, an international organization dedicated to promoting and supporting creators of horror and dark fiction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HWA Target entity description: HWA is the commonly used acronym for the Horror Writers Association, an international organization dedicated to promoting and supporting creators of horror and dark fiction.
-
A.
WHC
WHC is the commonly used abbreviation for UNESCO’s World Heritage Centre, the body responsible for coordinating the World Heritage Convention and managing the World Heritage List.
-
B.
WWA
WWA is the National Rail station code for Woolwich Arsenal railway station in southeast London.
-
C.
HWN
HWN is the National Rail station code for Harlow Town railway station in Essex, England.
-
D.
AWA
AWA is the commonly used abbreviation for the Animal Welfare Act, the primary U.S. federal law regulating the treatment of animals in research, exhibition, transport, and by dealers.
-
E.
W&A
W&A is the commonly used abbreviation for the Western and Atlantic Railroad, a historic rail line in the southeastern United States.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7872f6d481909ea1d3c2aad1a2b1 |
completed | March 31, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd352b1a288190bd13ef84bef7fa1c |
completed | April 1, 2026, 3:09 p.m. |
| NEDg | Description generation | batch_69cd36ef47e88190ae96ea2459552247 |
completed | April 1, 2026, 3:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd4edfda788190a29f5d9a7a61f6ed |
completed | April 1, 2026, 4:59 p.m. |
Created at: March 30, 2026, 5:47 p.m.