Triple
T10972980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Outerbridge |
E259290
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Ari Tasarov
Ari Tasarov is a fictional character portrayed as a Russian antagonist in the television series "Nikita."
|
E896805
|
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: Ari Tasarov | Statement: [Peter Outerbridge, playedCharacter, Ari Tasarov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ari Tasarov Context triple: [Peter Outerbridge, playedCharacter, Ari Tasarov]
-
A.
Ari Leschnikoff
Ari Leschnikoff was a Bulgarian-born tenor and entertainer best known as a member of the renowned German vocal group the Comedian Harmonists in the early 20th century.
-
B.
Tamir Greenwood
Tamir Greenwood is a child of Radiohead guitarist and composer Jonny Greenwood.
-
C.
Uriel Frisch
Uriel Frisch is a French physicist and mathematician renowned for his contributions to fluid dynamics and turbulence theory.
-
D.
Yaron Varsano
Yaron Varsano is an Israeli real estate developer and film producer best known as the husband and business partner of actress Gal Gadot.
-
E.
Gilad Londovski
Gilad Londovski is an Israeli professional who is best known as the husband of acclaimed actress Ayelet Zurer.
- 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: Ari Tasarov Triple: [Peter Outerbridge, playedCharacter, Ari Tasarov]
Generated description
Ari Tasarov is a fictional character portrayed as a Russian antagonist in the television series "Nikita."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ari Tasarov Target entity description: Ari Tasarov is a fictional character portrayed as a Russian antagonist in the television series "Nikita."
-
A.
Ari Leschnikoff
Ari Leschnikoff was a Bulgarian-born tenor and entertainer best known as a member of the renowned German vocal group the Comedian Harmonists in the early 20th century.
-
B.
Tamir Greenwood
Tamir Greenwood is a child of Radiohead guitarist and composer Jonny Greenwood.
-
C.
Uriel Frisch
Uriel Frisch is a French physicist and mathematician renowned for his contributions to fluid dynamics and turbulence theory.
-
D.
Yaron Varsano
Yaron Varsano is an Israeli real estate developer and film producer best known as the husband and business partner of actress Gal Gadot.
-
E.
Gilad Londovski
Gilad Londovski is an Israeli professional who is best known as the husband of acclaimed actress Ayelet Zurer.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719c16648190ab5a87abb1c61990 |
completed | April 9, 2026, 9:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d7a0b3dc819084fbda3227caf5b5 |
completed | April 18, 2026, 1 a.m. |
| NEDg | Description generation | batch_69e2ff211ae88190a40380cd25a61812 |
completed | April 18, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e32634397481908284c04448274b25 |
completed | April 18, 2026, 6:35 a.m. |
Created at: April 8, 2026, 9:24 p.m.