Triple
T18301323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Gross |
E438363
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object |
eToys
eToys was an online toy retailer that rose to prominence during the late-1990s dot-com boom before ultimately declaring bankruptcy in the early 2000s.
|
E1317516
|
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: eToys | Statement: [Bill Gross, founded, eToys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: eToys Context triple: [Bill Gross, founded, eToys]
-
A.
Toys
Toys is a 1992 fantasy comedy film directed by Barry Levinson, known for its whimsical visual style and satirical take on the military-industrial complex.
-
B.
Tec Toy
Tec Toy is a Brazilian electronics and video game company best known for localizing, manufacturing, and popularizing Sega consoles and games in Brazil.
-
C.
Toy's Factory
Toy's Factory is a Japanese record label known for producing and distributing music for a wide range of popular rock, pop, and anime-related artists.
-
D.
toys-to-life
Toys-to-life is a video game genre where physical collectible figures or toys are used to unlock and interact with digital content within the game.
-
E.
Teddies
Teddies is the informal nickname commonly used for St Edward's School, a co-educational independent boarding school in Oxford, England.
- 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: eToys Triple: [Bill Gross, founded, eToys]
Generated description
eToys was an online toy retailer that rose to prominence during the late-1990s dot-com boom before ultimately declaring bankruptcy in the early 2000s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: eToys Target entity description: eToys was an online toy retailer that rose to prominence during the late-1990s dot-com boom before ultimately declaring bankruptcy in the early 2000s.
-
A.
Toys
Toys is a 1992 fantasy comedy film directed by Barry Levinson, known for its whimsical visual style and satirical take on the military-industrial complex.
-
B.
Tec Toy
Tec Toy is a Brazilian electronics and video game company best known for localizing, manufacturing, and popularizing Sega consoles and games in Brazil.
-
C.
Toy's Factory
Toy's Factory is a Japanese record label known for producing and distributing music for a wide range of popular rock, pop, and anime-related artists.
-
D.
toys-to-life
Toys-to-life is a video game genre where physical collectible figures or toys are used to unlock and interact with digital content within the game.
-
E.
Teddies
Teddies is the informal nickname commonly used for St Edward's School, a co-educational independent boarding school in Oxford, England.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017f63dc819083a675d570620f2f |
completed | April 19, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb5e1fb481908a0b98ea130eda71 |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bdb3fb3c819095192ac49e809f55 |
completed | May 12, 2026, 11:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c193a0a08190b33d80d45f3ed0f0 |
completed | May 13, 2026, 12:10 a.m. |
Created at: April 10, 2026, 10:35 a.m.