Triple
T21624870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clint Romesha |
E533673
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Tamara Romesha
Tamara Romesha is the wife of former U.S. Army Staff Sergeant and Medal of Honor recipient Clint Romesha.
|
E1504361
|
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: Tamara Romesha | Statement: [Clint Romesha, spouse, Tamara Romesha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamara Romesha Context triple: [Clint Romesha, spouse, Tamara Romesha]
-
A.
Tamara Motyleva
Tamara Motyleva is a screenwriter best known for her work on the 1956 Soviet film "Mother," an adaptation of Maxim Gorky's novel.
-
B.
Tamara Muro
Tamara Muro is a business associate of Christine Baumgartner, known in connection with Baumgartner’s professional ventures.
-
C.
Tamara Rotareva
Tamara Rotareva was the wife of renowned Soviet violinist David Oistrakh.
-
D.
Tamara Ogorodnikova
Tamara Ogorodnikova is a Soviet film producer best known for her work on Andrei Tarkovsky’s acclaimed historical drama "Andrei Rublev" (1966).
-
E.
Tatiana Blatnik
Tatiana Blatnik is a Venezuelan-born public relations specialist and author who became a member of the former Greek royal family through her marriage to Prince Nikolaos of Greece and Denmark.
- 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: Tamara Romesha Triple: [Clint Romesha, spouse, Tamara Romesha]
Generated description
Tamara Romesha is the wife of former U.S. Army Staff Sergeant and Medal of Honor recipient Clint Romesha.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamara Romesha Target entity description: Tamara Romesha is the wife of former U.S. Army Staff Sergeant and Medal of Honor recipient Clint Romesha.
-
A.
Tamara Motyleva
Tamara Motyleva is a screenwriter best known for her work on the 1956 Soviet film "Mother," an adaptation of Maxim Gorky's novel.
-
B.
Tamara Muro
Tamara Muro is a business associate of Christine Baumgartner, known in connection with Baumgartner’s professional ventures.
-
C.
Tamara Rotareva
Tamara Rotareva was the wife of renowned Soviet violinist David Oistrakh.
-
D.
Tamara Ogorodnikova
Tamara Ogorodnikova is a Soviet film producer best known for her work on Andrei Tarkovsky’s acclaimed historical drama "Andrei Rublev" (1966).
-
E.
Tatiana Blatnik
Tatiana Blatnik is a Venezuelan-born public relations specialist and author who became a member of the former Greek royal family through her marriage to Prince Nikolaos of Greece and Denmark.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52121c3c8190b9b4d862ed247c71 |
completed | April 27, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a4bb5805081909e68cbd61d123870 |
completed | May 17, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_6a0a4c131b648190941732379c8d59a7 |
completed | May 17, 2026, 11:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a4c6822888190beef01f049b91fac |
completed | May 17, 2026, 11:16 p.m. |
Created at: April 16, 2026, 6:34 p.m.