Triple
T5751415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doug Liman |
E126860
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Liman
Liman is a surname most notably associated with American film director and producer Doug Liman.
|
E543846
|
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: Liman | Statement: [Doug Liman, familyName, Liman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liman Context triple: [Doug Liman, familyName, Liman]
-
A.
Alushta
Alushta is a resort town on the southern coast of Crimea, known for its beaches, mild climate, and role as a popular Black Sea tourist destination.
-
B.
Sovetskaya Gavan
Sovetskaya Gavan is a port town on the Strait of Tartary in Russia’s Far East, serving as an important maritime and transport hub in Khabarovsk Krai.
-
C.
Yalta Sea Port
Yalta Sea Port is a major maritime harbor and transportation hub serving the resort city of Yalta on the southern coast of the Crimean Peninsula.
-
D.
Mukran Port
Mukran Port is a major German Baltic Sea port on Rügen Island, known as an important ferry and logistics hub for traffic between Germany, Scandinavia, and the Baltic states.
-
E.
Tuapse
Tuapse is a Black Sea port town in southern Russia known as a seaside resort and industrial center within Krasnodar Krai.
- 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: Liman Triple: [Doug Liman, familyName, Liman]
Generated description
Liman is a surname most notably associated with American film director and producer Doug Liman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liman Target entity description: Liman is a surname most notably associated with American film director and producer Doug Liman.
-
A.
Alushta
Alushta is a resort town on the southern coast of Crimea, known for its beaches, mild climate, and role as a popular Black Sea tourist destination.
-
B.
Sovetskaya Gavan
Sovetskaya Gavan is a port town on the Strait of Tartary in Russia’s Far East, serving as an important maritime and transport hub in Khabarovsk Krai.
-
C.
Yalta Sea Port
Yalta Sea Port is a major maritime harbor and transportation hub serving the resort city of Yalta on the southern coast of the Crimean Peninsula.
-
D.
Mukran Port
Mukran Port is a major German Baltic Sea port on Rügen Island, known as an important ferry and logistics hub for traffic between Germany, Scandinavia, and the Baltic states.
-
E.
Tuapse
Tuapse is a Black Sea port town in southern Russia known as a seaside resort and industrial center within Krasnodar Krai.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288a0ea8819091ac6f965471ceee |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e3a50b88190a943b2d91d3c5b8e |
completed | March 22, 2026, 11:41 p.m. |
| NEDg | Description generation | batch_69c0880ef8608190a602c7b9c7f753fb |
completed | March 23, 2026, 12:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c088cff95481908a8e04e763269062 |
completed | March 23, 2026, 12:26 a.m. |
Created at: March 22, 2026, 3:48 p.m.