Triple
T33362488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Maîtres fous |
E854257
|
entity |
| Predicate | firstScreenedAt |
P206429
|
FINISHED |
| Object | France |
E861
|
NE 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: France | Statement: [Les Maîtres fous, firstScreenedAt, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstScreenedAt Context triple: [Les Maîtres fous, firstScreenedAt, France]
-
A.
firstScreeningDate
Indicates the date on which something (such as a film, show, or individual) is first formally screened or evaluated.
-
B.
firstScreenedAs
Indicates that an entity was initially shown, presented, or tested in a particular screening context or medium.
-
C.
firstScreeningEvent
Indicates the event representing the earliest or initial screening occurrence associated with an entity.
-
D.
firstScreeningYear
Indicates the year in which an entity (such as a film or show) was first publicly screened or premiered.
-
E.
firstDetectedOn
Indicates the date or time when something was initially observed, discovered, or recorded for the first time.
- F. None of above. chosen
Provenance (5 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3551ffec8c8190985ff23ef1dbca03 |
completed | June 19, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:34 a.m.