Triple
T2504571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Spitz won seven gold medals in swimming |
E52547
|
entity |
| Predicate | eachEventResult |
P33358
|
FINISHED |
| Object | gold medal |
—
|
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: gold medal | Statement: [Mark Spitz won seven gold medals in swimming, eachEventResult, gold medal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eachEventResult Context triple: [Mark Spitz won seven gold medals in swimming, eachEventResult, gold medal]
-
A.
hasEventOutcome
chosen
Indicates that a particular event results in, leads to, or is associated with a specific outcome.
-
B.
numberOfEvents
Indicates the quantity or count of events associated with a given entity or context.
-
C.
dealtWithEvent
Indicates that an entity has handled, responded to, or otherwise taken action to address a particular event.
-
D.
concludedAtEvent
Indicates that an entity’s participation, state, or validity ended as a result of a specific event.
-
E.
hasEventDetail
Indicates that an event is associated with additional descriptive information or specific attributes that further characterize it.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd65d6a988190aaaac8e98540a14f |
completed | March 7, 2026, 7:40 a.m. |
| PD | Predicate disambiguation | batch_69abd0bd996c8190ba8b9d6e4333b8d4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.