Triple
T33277349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man of Iron |
E851940
|
entity |
| Predicate | wonAwardAt |
P150687
|
FINISHED |
| Object |
1981 Cannes Film Festival
The 1981 Cannes Film Festival was an edition of the prestigious international film festival held in Cannes, France, showcasing and awarding notable films from around the world.
|
E2044553
|
NE FINISHED |
How this triple was built (3 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: 1981 Cannes Film Festival | Statement: [Man of Iron, wonAwardAt, 1981 Cannes Film Festival]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 1981 Cannes Film Festival Triple: [Man of Iron, wonAwardAt, 1981 Cannes Film Festival]
Generated description
The 1981 Cannes Film Festival was an edition of the prestigious international film festival held in Cannes, France, showcasing and awarding notable films from around the world.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonAwardAt Context triple: [Man of Iron, wonAwardAt, 1981 Cannes Film Festival]
-
A.
holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
-
B.
awardReceivedWith
Indicates that an entity received a specific award, optionally together with additional contextual details such as the work, role, or circumstances associated with that award.
-
C.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
-
D.
receivedAwardIn
chosen
Indicates that an entity was given or obtained a specific award in a particular place or context.
-
E.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
- F. None of above.
Provenance (6 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_69f349653da08190819876015a298fdb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a35392207dc8190b89e5d1a97f29a00 |
completed | June 19, 2026, 12:42 p.m. |
| NEDg | Description generation | batch_6a3539d886b88190b8c6484e86239d22 |
completed | June 19, 2026, 12:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a353a48a0e08190bbd5d55a8bd390ae |
completed | June 19, 2026, 12:47 p.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:32 a.m.