Triple
T36577675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard D. Sears |
E902300
|
entity |
| Predicate | lastUSNationalChampionshipSinglesTitleYear |
P185888
|
FINISHED |
| Object | 1887 |
—
|
LITERAL 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: 1887 | Statement: [Richard D. Sears, lastUSNationalChampionshipSinglesTitleYear, 1887]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastUSNationalChampionshipSinglesTitleYear Context triple: [Richard D. Sears, lastUSNationalChampionshipSinglesTitleYear, 1887]
-
A.
lastWimbledonSinglesTitleYear
Indicates the calendar year in which an entity most recently won a Wimbledon singles title.
-
B.
grandSlamSinglesFinalYear
Indicates the year in which a given Grand Slam singles final match took place.
-
C.
majorChampionshipSince
Indicates that an entity has won at least one major championship title starting from a specified time or year.
-
D.
yearOfGrandSlam
Indicates the specific year in which a particular Grand Slam event or achievement took place.
-
E.
numberOfUSOpenChampionshipsWon
Indicates the count of US Open Championship titles that an entity has won.
- F. None of above. chosen
Provenance (4 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_69f76e64d8908190868473959a250b94 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:11 p.m.