Triple
T6828635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Hays Sulzberger |
E157079
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Hays |
E292329
|
NE FINISHED |
How this triple was built (2 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: Hays | Statement: [Arthur Hays Sulzberger, middleName, Hays]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hays Context triple: [Arthur Hays Sulzberger, middleName, Hays]
-
A.
Hays
chosen
Hays is a surname most notably associated with Will H. Hays, the American politician and film industry figure behind the early Hollywood production code.
-
B.
Hays, Kansas
Hays, Kansas is a regional city in northwestern Kansas known as a commercial, educational, and medical hub, home to Fort Hays State University and rich frontier history.
-
C.
Hays, Texas
Hays, Texas is a small unincorporated community located within Hays County in central Texas.
-
D.
Hutchinson
Hutchinson is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
-
E.
Hutchinson
Hutchinson is a long-established British publishing house known for producing a wide range of fiction and non-fiction titles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6254bd88190a2a424537c2c12e2 |
completed | March 27, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723f49bdc8190af39b34dbaf3f0c9 |
completed | March 28, 2026, 12:42 a.m. |
Created at: March 27, 2026, 2:18 p.m.