Triple
T5970373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jovanka Broz |
E132856
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Broz
Broz is a surname most famously associated with Josip Broz Tito, the former president of Yugoslavia, and his wife Jovanka Broz.
|
E559873
|
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: Broz | Statement: [Jovanka Broz, familyName, Broz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broz Context triple: [Jovanka Broz, familyName, Broz]
-
A.
Brodinski
Brodinski is a French DJ and electronic music producer known for his dark, techno-influenced sound and role in shaping the modern French electronic and club scene.
-
B.
Marko
Marko is a masculine given name, commonly used in Slavic and other European cultures, that is cognate with the name Marcus.
-
C.
Kopitar
Kopitar is a Slovenian surname most prominently associated with Anze Kopitar, a star center and longtime captain of the NHL’s Los Angeles Kings.
-
D.
Wido
Wido is a given name that functions as a variant form of the name Guido, used in various European languages.
-
E.
Bomer
Bomer is the surname of American actor Matt Bomer, known for his roles in television and film such as "White Collar" and "The Normal Heart."
- 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: Broz Triple: [Jovanka Broz, familyName, Broz]
Generated description
Broz is a surname most famously associated with Josip Broz Tito, the former president of Yugoslavia, and his wife Jovanka Broz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Broz Target entity description: Broz is a surname most famously associated with Josip Broz Tito, the former president of Yugoslavia, and his wife Jovanka Broz.
-
A.
Brodinski
Brodinski is a French DJ and electronic music producer known for his dark, techno-influenced sound and role in shaping the modern French electronic and club scene.
-
B.
Marko
Marko is a masculine given name, commonly used in Slavic and other European cultures, that is cognate with the name Marcus.
-
C.
Kopitar
Kopitar is a Slovenian surname most prominently associated with Anze Kopitar, a star center and longtime captain of the NHL’s Los Angeles Kings.
-
D.
Wido
Wido is a given name that functions as a variant form of the name Guido, used in various European languages.
-
E.
Bomer
Bomer is the surname of American actor Matt Bomer, known for his roles in television and film such as "White Collar" and "The Normal Heart."
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a4263e8819084e98e6c016c9532 |
completed | March 22, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e40a67bc8190a57884f7c6aa1b9d |
completed | March 23, 2026, 6:56 a.m. |
| NEDg | Description generation | batch_69c0f88f4e048190810351c4aebf363c |
completed | March 23, 2026, 8:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0f982c95c819081b2cf2c429c21bc |
completed | March 23, 2026, 8:27 a.m. |
Created at: March 22, 2026, 4:03 p.m.