Triple
T20525310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franco Fraticelli |
E503918
|
entity |
| Predicate | collaborationDuration |
P65841
|
FINISHED |
| Object | long-standing collaboration with Dario Argento |
—
|
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: long-standing collaboration with Dario Argento | Statement: [Franco Fraticelli, collaborationDuration, long-standing collaboration with Dario Argento]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collaborationDuration Context triple: [Franco Fraticelli, collaborationDuration, long-standing collaboration with Dario Argento]
-
A.
collaborationPeriod
chosen
Indicates the time span during which two or more entities are actively engaged in a collaborative relationship or joint activity.
-
B.
collaborationSize
Indicates the number of participants involved together in a given collaborative relationship or activity.
-
C.
collaborationOf
Indicates a relationship in which two or more entities work together jointly toward a shared goal or outcome.
-
D.
coregencyDurationApprox
Indicates an approximate length of time during which two or more rulers or authorities held power jointly in a coregency.
-
E.
occupationDuration
Indicates the length of time an entity holds or has held a particular occupation or role.
- 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a06504b48190b3f1defdc23a47d5 |
completed | April 20, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:37 a.m.