Triple
T2831706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rambo III |
E62251
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Marc de Jonge
Marc de Jonge was a French actor best known internationally for playing the Soviet Colonel Zaysen in the action film "Rambo III."
|
E302334
|
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: Marc de Jonge | Statement: [Rambo III, starring, Marc de Jonge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc de Jonge Context triple: [Rambo III, starring, Marc de Jonge]
-
A.
Adrian Sweere
Adrian Sweere was an early 20th-century Jesuit priest and educator who played a key role in establishing what would become Seattle University.
-
B.
Bete Denagel
Bete Denagel is one of the rock-hewn monolithic churches in the historic Ethiopian town of Lalibela, renowned for its medieval Christian architecture and religious significance.
-
C.
Christian Huitema
Christian Huitema is a French computer scientist and Internet pioneer known for his influential work on networking protocols and IPv6 transition technologies.
-
D.
Tim Kruithoff
Tim Kruithoff is a German local politician who serves as the mayor of the city of Emden in Lower Saxony.
-
E.
Jan-Christian Dreesen
Jan-Christian Dreesen is a German football executive best known for serving as the chief executive officer of FC Bayern Munich.
- 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: Marc de Jonge Triple: [Rambo III, starring, Marc de Jonge]
Generated description
Marc de Jonge was a French actor best known internationally for playing the Soviet Colonel Zaysen in the action film "Rambo III."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marc de Jonge Target entity description: Marc de Jonge was a French actor best known internationally for playing the Soviet Colonel Zaysen in the action film "Rambo III."
-
A.
Adrian Sweere
Adrian Sweere was an early 20th-century Jesuit priest and educator who played a key role in establishing what would become Seattle University.
-
B.
Bete Denagel
Bete Denagel is one of the rock-hewn monolithic churches in the historic Ethiopian town of Lalibela, renowned for its medieval Christian architecture and religious significance.
-
C.
Christian Huitema
Christian Huitema is a French computer scientist and Internet pioneer known for his influential work on networking protocols and IPv6 transition technologies.
-
D.
Tim Kruithoff
Tim Kruithoff is a German local politician who serves as the mayor of the city of Emden in Lower Saxony.
-
E.
Jan-Christian Dreesen
Jan-Christian Dreesen is a German football executive best known for serving as the chief executive officer of FC Bayern Munich.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebe95188190bf65fb4cd88e2ec5 |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceb771d48190a1467a6e58f756ad |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afd21bf66481909d0416cf591fc2cf |
completed | March 10, 2026, 8:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afd28839a881909c758e2ea202242a |
completed | March 10, 2026, 8:12 a.m. |
Created at: March 6, 2026, 10:01 p.m.