Triple
T18344435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teofilo |
E439497
|
entity |
| Predicate | hasCareerPhase |
P6708
|
FINISHED |
| Object | racing career |
—
|
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: racing career | Statement: [Teofilo, hasCareerPhase, racing career]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCareerPhase Context triple: [Teofilo, hasCareerPhase, racing career]
-
A.
hasStageCareer
Indicates that an entity has pursued or been involved in a professional career in stage performance or theater.
-
B.
appliesDuringCareerPhase
Indicates that something is relevant or in effect only during a specified phase of an entity’s career.
-
C.
hasCareerGamesPlayed
Indicates the total number of games an entity has played over the course of its entire career.
-
D.
isStageInCareerOf
chosen
Indicates that one entity represents a particular phase or stage within the professional career of another entity.
-
E.
hasCareerSpanCoverage
Indicates that one entity’s coverage, record, or data extends across the full duration of another entity’s career span.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f2c8ec8190b045482846a68204 |
completed | April 19, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.