Triple
T37761368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haley Scarnato |
E941281
|
entity |
| Predicate | startTimeOfPublicCareer |
P203213
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Haley Scarnato, startTimeOfPublicCareer, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfPublicCareer Context triple: [Haley Scarnato, startTimeOfPublicCareer, 2007]
-
A.
startTimeOfProfessionalCareer
Indicates the point in time when an individual’s professional career formally begins.
-
B.
startTimeOfCreativeCareer
Indicates the point in time when an entity’s creative career or artistic professional activity began.
-
C.
startTimeOfMusicCareer
Indicates the point in time when an entity’s music career began.
-
D.
startTimeOfPoliticalCareer
Indicates the point in time when an individual’s political career officially began.
-
E.
beganBroadcastingCareer
Indicates that an entity started or initiated its professional career in broadcasting at a particular time or context.
- 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a013c50bcb8819086d163f1a796a9b8 |
completed | May 11, 2026, 2:17 a.m. |
| PD | Predicate disambiguation | batch_6a013c01bac88190b15c70910c02a8a7 |
completed | May 11, 2026, 2:16 a.m. |
| PDg | Predicate description generation | batch_6a013c4fabdc81908441f20dee0addd6 |
completed | May 11, 2026, 2:17 a.m. |
Created at: May 3, 2026, 4:19 p.m.