Triple
T20124110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toys That Kill |
E490698
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Denis Fleps
Denis Fleps is a musician best known as a member of the punk rock band Toys That Kill.
|
E1413201
|
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: Denis Fleps | Statement: [Toys That Kill, hasMember, Denis Fleps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denis Fleps Context triple: [Toys That Kill, hasMember, Denis Fleps]
-
A.
Markus Dravs
Markus Dravs is a renowned music producer known for his work with artists such as Arcade Fire, Coldplay, and Björk, contributing to several critically acclaimed and award-winning albums.
-
B.
Roman Kroitor
Roman Kroitor was a Canadian filmmaker and innovator best known as a co-founder and creative pioneer of the IMAX large-format cinema technology.
-
C.
Georgy Rerberg
Georgy Rerberg was a renowned Soviet cinematographer best known for his visually poetic work on Andrei Tarkovsky’s films, particularly "Mirror."
-
D.
Vladimir Gittis
Vladimir Gittis was a Soviet military commander and Red Army officer active during the early years of the Soviet Union.
-
E.
Denis Rouden
Denis Rouden is a French cinematographer known for his visually striking work on films such as "The Big Blue."
- 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: Denis Fleps Triple: [Toys That Kill, hasMember, Denis Fleps]
Generated description
Denis Fleps is a musician best known as a member of the punk rock band Toys That Kill.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Denis Fleps Target entity description: Denis Fleps is a musician best known as a member of the punk rock band Toys That Kill.
-
A.
Markus Dravs
Markus Dravs is a renowned music producer known for his work with artists such as Arcade Fire, Coldplay, and Björk, contributing to several critically acclaimed and award-winning albums.
-
B.
Roman Kroitor
Roman Kroitor was a Canadian filmmaker and innovator best known as a co-founder and creative pioneer of the IMAX large-format cinema technology.
-
C.
Georgy Rerberg
Georgy Rerberg was a renowned Soviet cinematographer best known for his visually poetic work on Andrei Tarkovsky’s films, particularly "Mirror."
-
D.
Vladimir Gittis
Vladimir Gittis was a Soviet military commander and Red Army officer active during the early years of the Soviet Union.
-
E.
Denis Rouden
Denis Rouden is a French cinematographer known for his visually striking work on films such as "The Big Blue."
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6674054188190a15d55a73e86d143 |
completed | April 20, 2026, 5:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082dd7d19481908fed99f3c37b91bf |
completed | May 16, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_6a082f03be608190a68d27656d33fe5e |
completed | May 16, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082faf0ca48190a498079bda6fb96f |
completed | May 16, 2026, 8:49 a.m. |
Created at: April 11, 2026, 11:30 p.m.