Triple
T14510752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sifan Hassan |
E340387
|
entity |
| Predicate | personalBestMarathon |
P114518
|
FINISHED |
| Object | 2:18:33 |
—
|
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: 2:18:33 | Statement: [Sifan Hassan, personalBestMarathon, 2:18:33]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: personalBestMarathon Context triple: [Sifan Hassan, personalBestMarathon, 2:18:33]
-
A.
personalBestMarathonYear
Indicates the year in which an entity achieved their personal best performance in a marathon.
-
B.
personalBest_halfMarathon
Indicates that the associated half marathon performance is the best (fastest or highest-achieving) one recorded for the person.
-
C.
personalBest
Indicates that one entity represents the best performance or achievement ever attained personally by another entity.
-
D.
personalBestShortProgramEvent
Indicates the event in which an individual achieved their personal best score in the short program.
-
E.
marathonWinner
Indicates that one entity is the competitor who finished first and won a specified marathon event.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e5b7b48190878be271840c265b |
completed | April 14, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:21 a.m.