Triple
T1069019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Merritt Chase |
E23281
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Chase |
E8743
|
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: Chase | Statement: [William Merritt Chase, familyName, Chase]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chase Context triple: [William Merritt Chase, familyName, Chase]
-
A.
Chase
chosen
Chase is a major U.S. consumer and commercial banking brand of JPMorgan Chase, offering a wide range of financial services including checking, savings, credit cards, and loans.
-
B.
Hunt
Hunt is a common English surname borne by numerous notable figures across fields such as architecture, politics, sports, and the arts.
-
C.
Chas
Chas is a common diminutive or nickname for the given name Charles.
-
D.
Champ
Champ is the Dallas Mavericks’ horse-themed team mascot known for energizing crowds at their NBA games.
-
E.
Chaz
Chaz is a common diminutive or nickname for the given name Charles, often used in English-speaking countries.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b91389888190b4b96d7ee4dda206 |
completed | March 1, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42a51c208190a9a603100ed7f5dc |
completed | March 7, 2026, 3:22 p.m. |
Created at: March 1, 2026, 7:42 p.m.