Triple
T34212439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hester Street |
E877692
|
entity |
| Predicate | firstShownAtFestival |
P116097
|
FINISHED |
| Object | Cannes Film Festival (Directors’ Fortnight) |
E16154
|
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: Cannes Film Festival (Directors’ Fortnight) | Statement: [Hester Street, firstShownAtFestival, Cannes Film Festival (Directors’ Fortnight)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstShownAtFestival Context triple: [Hester Street, firstShownAtFestival, Cannes Film Festival (Directors’ Fortnight)]
-
A.
festivalPremiereDate
Indicates the date on which a work (such as a film) first premieres at a festival.
-
B.
filmFestivalAwardedAt
Indicates that a particular film festival award was given or presented at a specific film festival event or edition.
-
C.
hasFilmFestival
Indicates that a place, organization, or context hosts, organizes, or is the venue for a film festival.
-
D.
usedInFestival
Indicates that something is employed, featured, or utilized as part of a festival or festival-related activities.
-
E.
firstFilmScreenings
chosen
Indicates that the relationship links a film to the locations, venues, or events where it was first publicly screened.
- F. None of above.
Provenance (4 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_69f349b0b4bc819088c1552424089ee9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36cc918f088190983dfd1483a75c0e |
completed | June 20, 2026, 5:23 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:55 a.m.