Triple
T9228400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry |
E221748
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object | O. Henry |
E194684
|
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: O. Henry | Statement: [Henry, notableBearer, O. Henry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O. Henry Context triple: [Henry, notableBearer, O. Henry]
-
A.
O. Henry
chosen
O. Henry was the pen name of American short story writer William Sydney Porter, renowned for his witty narratives and twist endings.
-
B.
John Howells
John Howells is a notable individual who shares the surname associated with the prominent Howells family name.
-
C.
Eugene Field
Eugene Field was an American writer best known for his humorous newspaper columns and beloved children's poetry, including "Wynken, Blynken, and Nod."
-
D.
Henry Gilman
Henry Gilman was an influential American chemist renowned for his pioneering work in organometallic chemistry and the development of Gilman reagents.
-
E.
Dashiell John Upton
Dashiell John Upton is the son of Australian playwright and screenwriter Andrew Upton and actress Cate Blanchett.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccdaa0a7608190b10d913e5e3d1b3e |
completed | April 1, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0665cd43481908287b6d4858d63a1 |
completed | April 4, 2026, 1:16 a.m. |
Created at: March 30, 2026, 7:29 p.m.