Triple
T233214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enemy at the Gates |
E4452
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Alain Godard
Alain Godard was a French screenwriter best known for co-writing the World War II film "Enemy at the Gates."
|
E31322
|
NE FINISHED |
How this triple was built (4 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: Alain Godard | Statement: [Enemy at the Gates, screenwriter, Alain Godard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alain Godard Context triple: [Enemy at the Gates, screenwriter, Alain Godard]
-
A.
Jean-Jacques Annaud
Jean-Jacques Annaud is a French film director known for visually ambitious, historically themed works such as "The Name of the Rose," "The Bear," and "Seven Years in Tibet."
-
B.
Jean-Pierre
Jean-Pierre is a French given name commonly used as a masculine compound first name.
-
C.
Jean-Paul Agon
Jean-Paul Agon is a French business executive best known for serving as the longtime CEO and later chairman of global cosmetics giant L'Oréal.
-
D.
Joachim Sauer
Joachim Sauer is a German quantum chemist and professor known both for his research in theoretical chemistry and for being married to former Chancellor Angela Merkel.
-
E.
Philippe Erlanger
Philippe Erlanger was a French historian and cultural administrator best known for initiating and organizing the creation of the Cannes Film Festival.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Alain Godard Triple: [Enemy at the Gates, screenwriter, Alain Godard]
Generated description
Alain Godard was a French screenwriter best known for co-writing the World War II film "Enemy at the Gates."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alain Godard Target entity description: Alain Godard was a French screenwriter best known for co-writing the World War II film "Enemy at the Gates."
-
A.
Jean-Jacques Annaud
Jean-Jacques Annaud is a French film director known for visually ambitious, historically themed works such as "The Name of the Rose," "The Bear," and "Seven Years in Tibet."
-
B.
Jean-Pierre
Jean-Pierre is a French given name commonly used as a masculine compound first name.
-
C.
Jean-Paul Agon
Jean-Paul Agon is a French business executive best known for serving as the longtime CEO and later chairman of global cosmetics giant L'Oréal.
-
D.
Joachim Sauer
Joachim Sauer is a German quantum chemist and professor known both for his research in theoretical chemistry and for being married to former Chancellor Angela Merkel.
-
E.
Philippe Erlanger
Philippe Erlanger was a French historian and cultural administrator best known for initiating and organizing the creation of the Cannes Film Festival.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25cb07b5c8190a482154819912abf |
completed | Feb. 28, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3695d08588190892d271c03fdf1e6 |
completed | Feb. 28, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_69a369d2b56c8190a6381b2da3e42e18 |
completed | Feb. 28, 2026, 10:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a36a9f31408190b8f0e8273ff3a298 |
completed | Feb. 28, 2026, 10:22 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.