Triple
T16944566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Slater |
E411034
|
entity |
| Predicate | hasOccupationPeriodStart |
P4697
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Helen Slater, hasOccupationPeriodStart, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOccupationPeriodStart Context triple: [Helen Slater, hasOccupationPeriodStart, 1980s]
-
A.
hasWorkPeriodStart
Indicates the point in time when a specified work period begins.
-
B.
occupationBeganAfter
Indicates that one entity’s occupation or job role started at a later time than another specified event or occupation.
-
C.
earliestOccupationDate
Indicates the earliest known date on which an entity began a particular occupation or role.
-
D.
occupationBegan
chosen
Indicates the point in time when an entity started holding a particular occupation or job.
-
E.
hasEvidenceOfOccupationSince
Indicates that there is evidence showing an entity has been occupied continuously or intermittently since a specified point in time.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb08da88190b07c32652bbc1534 |
completed | April 18, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:31 a.m.