Triple
T13138415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laboratoire central des services chimiques de l'État |
E312145
|
entity |
| Predicate | employedDuringPeriod |
P11675
|
FINISHED |
| Object | Rosalind Franklin, 1947–1950 |
—
|
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: Rosalind Franklin, 1947–1950 | Statement: [Laboratoire central des services chimiques de l'État, employedDuringPeriod, Rosalind Franklin, 1947–1950]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employedDuringPeriod Context triple: [Laboratoire central des services chimiques de l'État, employedDuringPeriod, Rosalind Franklin, 1947–1950]
-
A.
employedTo
Indicates that one entity is hired or engaged to perform work, services, or duties for another entity.
-
B.
employedThrough
Indicates that an entity holds a job or work position by means of, or via the arrangement of, another entity (such as an agency, contractor, or intermediary).
-
C.
workedAs
Indicates that an entity held a particular job, role, or position, performing work in that capacity.
-
D.
hasWorkedFor
chosen
Indicates that an entity has been employed by or has provided work or services to another entity.
-
E.
hasWorkedIn
Indicates that a person has been employed or has performed work within a particular organization, location, or domain for some period of 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b6a4348190b9922ed255759078 |
completed | April 10, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69d9804543cc8190a23cd7da59a12a7b |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:09 p.m.