Triple
T28549417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd Eldredge |
E722839
|
entity |
| Predicate | numberOfUSNationalTitles |
P199015
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Todd Eldredge, numberOfUSNationalTitles, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfUSNationalTitles Context triple: [Todd Eldredge, numberOfUSNationalTitles, 6]
-
A.
numberOfNationalTitles
chosen
Indicates the total count of national-level championship titles that an entity has won.
-
B.
wonNationalTitle
Indicates that an entity has achieved first place or championship status in a competition at the national level.
-
C.
totalNationalSeriesWins
Indicates the total number of national series competitions that an entity has won.
-
D.
numberOfNationalRoadTitles
Indicates the count of national road cycling championship titles an entity has won.
-
E.
hasClaimedNationalTitlesInEra
Indicates that an entity has won or been awarded national titles during a specified historical period or era.
- F. None of above.
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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69ff7595c9bc8190982c6e6e07a0c78f |
completed | May 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69ff715432a88190a25670d26614bde2 |
completed | May 9, 2026, 5:39 p.m. |
Created at: April 28, 2026, 3:41 a.m.