Triple
T7681341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zülfü Livaneli |
E173999
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sis
Sis is a Turkish film written and directed by Zülfü Livaneli that explores political repression and personal trauma in the aftermath of the 1980 military coup in Turkey.
|
E680957
|
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: Sis | Statement: [Zülfü Livaneli, notableWork, Sis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sis Context triple: [Zülfü Livaneli, notableWork, Sis]
-
A.
Sis
Sis was the medieval capital city of the Armenian Kingdom of Cilicia, serving as its political and cultural center.
-
B.
SIS
SIS is the commonly used abbreviation for the United Kingdom’s Secret Intelligence Service, the foreign intelligence agency often referred to as MI6.
-
C.
SIS
SIS is the CERN Scientific Information Service, responsible for managing and providing access to the organization’s scientific publications, data, and library resources.
-
D.
Sius
Sius is the Ladin name for Seis am Schlern, a village in South Tyrol, northern Italy, known as a gateway to the Dolomites.
-
E.
Siasi
Siasi is an island municipality in the southern Philippines known for its predominantly Muslim population, fishing-based economy, and location within the Sulu Sea.
- 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: Sis Triple: [Zülfü Livaneli, notableWork, Sis]
Generated description
Sis is a Turkish film written and directed by Zülfü Livaneli that explores political repression and personal trauma in the aftermath of the 1980 military coup in Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sis Target entity description: Sis is a Turkish film written and directed by Zülfü Livaneli that explores political repression and personal trauma in the aftermath of the 1980 military coup in Turkey.
-
A.
Sis
Sis was the medieval capital city of the Armenian Kingdom of Cilicia, serving as its political and cultural center.
-
B.
SIS
SIS is the commonly used abbreviation for the United Kingdom’s Secret Intelligence Service, the foreign intelligence agency often referred to as MI6.
-
C.
SIS
SIS is the CERN Scientific Information Service, responsible for managing and providing access to the organization’s scientific publications, data, and library resources.
-
D.
Sius
Sius is the Ladin name for Seis am Schlern, a village in South Tyrol, northern Italy, known as a gateway to the Dolomites.
-
E.
Siasi
Siasi is an island municipality in the southern Philippines known for its predominantly Muslim population, fishing-based economy, and location within the Sulu Sea.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70201387c8190afc8479b5a9e21e8 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a24de3a48190a92009b6092b09d0 |
completed | March 29, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_69c8a30d3fac8190bec7e2748bc8f17e |
completed | March 29, 2026, 3:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a3d2e660819099f90a9e43310381 |
completed | March 29, 2026, 4 a.m. |
Created at: March 27, 2026, 4:01 p.m.