Triple
T33447267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tania Libertad |
E856540
|
entity |
| Predicate | madeProfessionalDebutInDecade |
P98720
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [Tania Libertad, madeProfessionalDebutInDecade, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeProfessionalDebutInDecade Context triple: [Tania Libertad, madeProfessionalDebutInDecade, 1960s]
-
A.
madeProfessionalDebutIn
Indicates the time or event in which an individual first performed or appeared in a professional capacity within a given field or organization.
-
B.
debutYear
Indicates the year in which an entity first appeared, was introduced, or made its initial public debut.
-
C.
timePeriodOfDebut
chosen
Indicates the time period during which an entity first appeared, was introduced, or made its debut.
-
D.
madeDebutAtAge
Indicates the age at which an entity first appeared, performed, or participated in a particular field, event, or activity.
-
E.
madeFamousInDecade
Indicates that something became widely known or gained significant public recognition during a specified decade.
- 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_69f34971b75881908be360bb041f003c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e4a8c5c88190a304f849fcb5e7a5 |
completed | May 3, 2026, 6:01 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:37 a.m.