Triple
T12219590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The White Crow |
E291176
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Gabriel Tana
Gabriel Tana is a film producer known for working on the biographical drama "The White Crow."
|
E969193
|
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: Gabriel Tana | Statement: [The White Crow, producer, Gabriel Tana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabriel Tana Context triple: [The White Crow, producer, Gabriel Tana]
-
A.
Luc Gabriel
Luc Gabriel is a private individual known primarily as a relative by marriage of Meabh Flynn.
-
B.
Gabriel Brener
Gabriel Brener is a businessman and investor best known in sports for his former ownership stake in Major League Soccer’s Houston Dynamo.
-
C.
Nicolas Gonda
Nicolas Gonda is a film producer best known for his frequent collaborations with director Terrence Malick on several critically acclaimed films.
-
D.
Vladimir Cosma
Vladimir Cosma is a Romanian-born French composer and conductor best known for his prolific and popular film scores, particularly for French cinema from the 1970s onward.
-
E.
Gabriel Roman
Gabriel Roman is a wealthy and ruthless British treasure hunter who serves as the main antagonist in the video game Uncharted: Drake's Fortune.
- 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: Gabriel Tana Triple: [The White Crow, producer, Gabriel Tana]
Generated description
Gabriel Tana is a film producer known for working on the biographical drama "The White Crow."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gabriel Tana Target entity description: Gabriel Tana is a film producer known for working on the biographical drama "The White Crow."
-
A.
Luc Gabriel
Luc Gabriel is a private individual known primarily as a relative by marriage of Meabh Flynn.
-
B.
Gabriel Brener
Gabriel Brener is a businessman and investor best known in sports for his former ownership stake in Major League Soccer’s Houston Dynamo.
-
C.
Nicolas Gonda
Nicolas Gonda is a film producer best known for his frequent collaborations with director Terrence Malick on several critically acclaimed films.
-
D.
Vladimir Cosma
Vladimir Cosma is a Romanian-born French composer and conductor best known for his prolific and popular film scores, particularly for French cinema from the 1970s onward.
-
E.
Gabriel Roman
Gabriel Roman is a wealthy and ruthless British treasure hunter who serves as the main antagonist in the video game Uncharted: Drake's Fortune.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c951f5881908db6edfda1153d6f |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aa4f4388190a787dde12190c51a |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60bdca250819090b4b4cc84d343f4 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60cd1668881908f43d895fcfba0aa |
completed | May 2, 2026, 2:40 p.m. |
Created at: April 8, 2026, 9:51 p.m.