Triple
T3407865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivana Baquero |
E71817
|
entity |
| Predicate | yearsActiveStart |
P10338
|
FINISHED |
| Object | early 2000s |
—
|
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: early 2000s | Statement: [Ivana Baquero, yearsActiveStart, early 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsActiveStart Context triple: [Ivana Baquero, yearsActiveStart, early 2000s]
-
A.
beganInYear
chosen
Indicates that an event, process, or state started in a specific calendar year.
-
B.
activeInYears
Indicates that an entity was active or operational during the specified years or year range.
-
C.
recordStartYear
Indicates the calendar year in which a particular record, entry, or data instance first began or was created.
-
D.
historicallyActiveIn
Indicates that an entity was active or engaged in significant activities within a particular place or context during a past historical period.
-
E.
debutYear
Indicates the year in which an entity first appeared, was introduced, or made its initial public debut.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8ede9c48190b13b0f5e7474e7fa |
completed | March 8, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69adadfa73ac8190a163f93e88d217f8 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.