Triple
T36716342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Lou Retton |
E906920
|
entity |
| Predicate | timeOfAchievement |
P83896
|
FINISHED |
| Object | 1984 |
—
|
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: 1984 | Statement: [Mary Lou Retton, timeOfAchievement, 1984]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfAchievement Context triple: [Mary Lou Retton, timeOfAchievement, 1984]
-
A.
achievementTiming
Indicates the temporal relationship specifying when an achievement occurs or is attained relative to other events or a reference time.
-
B.
achievedOn
chosen
Indicates that a particular result, milestone, or state was successfully reached or completed at a specific time or date.
-
C.
timeRecorded
Indicates that a specific point or period in time has been captured and stored as associated with an event, action, or state.
-
D.
goalTimeRecord
Indicates that a specific time value is recorded as the target or goal duration for an activity or process.
-
E.
timeOfAppearance
Indicates the specific time at which an entity or event becomes visible, present, or first occurs.
- 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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
Created at: May 3, 2026, 4:12 p.m.