Triple
T12979706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Society of Hematology |
E321622
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
ASH
ASH is the leading professional organization in the United States dedicated to the study and treatment of blood disorders and the advancement of hematology research and education.
|
E1013853
|
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: ASH | Statement: [American Society of Hematology, shortName, ASH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASH Context triple: [American Society of Hematology, shortName, ASH]
-
A.
ASH
ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
-
B.
ASH
ASH is the National Rail station code for Ashington railway station in Northumberland, England.
-
C.
asha
Asha is the central Zoroastrian concept of truth, order, and cosmic righteousness that governs both the moral and natural worlds.
-
D.
AS
AS is the commonly used abbreviation for Academia Sinica, Taiwan’s national academy and leading research institution.
-
E.
AS
AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
- 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: ASH Triple: [American Society of Hematology, shortName, ASH]
Generated description
ASH is the leading professional organization in the United States dedicated to the study and treatment of blood disorders and the advancement of hematology research and education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ASH Target entity description: ASH is the leading professional organization in the United States dedicated to the study and treatment of blood disorders and the advancement of hematology research and education.
-
A.
ASH
ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
-
B.
ASH
ASH is the National Rail station code for Ashington railway station in Northumberland, England.
-
C.
asha
Asha is the central Zoroastrian concept of truth, order, and cosmic righteousness that governs both the moral and natural worlds.
-
D.
AS
AS is the commonly used abbreviation for Academia Sinica, Taiwan’s national academy and leading research institution.
-
E.
AS
AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e5b993481908f94fe096ade441b |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8f200c88190a2aab15373cbedf5 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6ba0904e8819098bae29961bf0046 |
completed | May 3, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb7a0ae08190813411fa677430aa |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 8:39 p.m.