Triple
T8534364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Ricketts |
E202039
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ricketts |
E543595
|
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: Ricketts | Statement: [Joe Ricketts, familyName, Ricketts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ricketts Context triple: [Joe Ricketts, familyName, Ricketts]
-
A.
Ricketts
chosen
Ricketts is a surname of English origin borne by various notable individuals across fields such as religion, science, and the arts.
-
B.
Ricketts family
The Ricketts family is an American family of investors and philanthropists best known for owning and revitalizing the Chicago Cubs Major League Baseball franchise.
-
C.
Borella
Borella is a prominent residential and commercial suburb within Colombo, Sri Lanka, known for its central location and diverse urban character.
-
D.
Loeffler
Loeffler is a German-origin surname borne by various notable individuals in fields such as sports, politics, and the arts.
-
E.
Vircava
Vircava is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a0ccd4819097b41d0dfb1c5018 |
completed | March 31, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d7aa3a881909bfdd3536dbc4ec7 |
completed | April 2, 2026, 1:22 p.m. |
Created at: March 30, 2026, 6:17 p.m.