Triple
T23051169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sacha Kljestan |
E574017
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kljestan
Kljestan is a surname most notably associated with Sacha Kljestan, an American former professional soccer player and U.S. international midfielder.
|
E1582423
|
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: Kljestan | Statement: [Sacha Kljestan, familyName, Kljestan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kljestan Context triple: [Sacha Kljestan, familyName, Kljestan]
-
A.
Ostružanj
Ostružanj is a village in western Serbia that forms part of the rural area administered by the municipality of Osečina.
-
B.
Kornić
Kornić is a small coastal village on the Croatian island of Krk, known for its traditional stone architecture and views over the Bay of Punat.
-
C.
Plesac
Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
-
D.
Jagodnjak
Jagodnjak is a village and municipality located in the Baranja region of northeastern Croatia, near the border with Hungary and Serbia.
-
E.
Košljun
Košljun is a small Croatian islet in the Adriatic Sea known for its historic Franciscan monastery and rich cultural and natural heritage.
- 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: Kljestan Triple: [Sacha Kljestan, familyName, Kljestan]
Generated description
Kljestan is a surname most notably associated with Sacha Kljestan, an American former professional soccer player and U.S. international midfielder.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kljestan Target entity description: Kljestan is a surname most notably associated with Sacha Kljestan, an American former professional soccer player and U.S. international midfielder.
-
A.
Ostružanj
Ostružanj is a village in western Serbia that forms part of the rural area administered by the municipality of Osečina.
-
B.
Kornić
Kornić is a small coastal village on the Croatian island of Krk, known for its traditional stone architecture and views over the Bay of Punat.
-
C.
Plesac
Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
-
D.
Jagodnjak
Jagodnjak is a village and municipality located in the Baranja region of northeastern Croatia, near the border with Hungary and Serbia.
-
E.
Košljun
Košljun is a small Croatian islet in the Adriatic Sea known for its historic Franciscan monastery and rich cultural and natural heritage.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867c443081909588262bc90748af |
completed | April 29, 2026, 4:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dac48dc8190b985ce6b1730fe63 |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c5edefb448190b2ee53becb7bcb8d |
completed | May 19, 2026, 1 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c5f58dd448190bdf6674d65098c3f |
completed | May 19, 2026, 1:02 p.m. |
Created at: April 17, 2026, 3:54 p.m.