Triple
T271986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alphabet Inc. |
E5652
|
entity |
| Predicate | segment |
P889
|
FINISHED |
| Object |
Other Bets
Other Bets is Alphabet Inc.’s collection of experimental and high-risk ventures, such as Waymo and Verily, that explore innovative technologies beyond its core Google business.
|
E35326
|
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: Other Bets | Statement: [Alphabet Inc., segment, Other Bets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Other Bets Context triple: [Alphabet Inc., segment, Other Bets]
-
A.
Two Can Play That Game
Two Can Play That Game is a 2001 romantic comedy film about modern dating mind games, starring Vivica A. Fox and Morris Chestnut.
-
B.
Horseshoe
Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
-
C.
The Longshot
The Longshot is a punk rock side project fronted by Green Day’s Billie Joe Armstrong, known for its raw, garage-influenced sound.
-
D.
The Gamester
The Gamester is a Caroline-era tragicomedy play by English dramatist James Shirley, centered on themes of gambling, honor, and social intrigue.
-
E.
Golden Ball
The Golden Ball is the award presented to the best player of the FIFA Club World Cup tournament.
- 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: Other Bets Triple: [Alphabet Inc., segment, Other Bets]
Generated description
Other Bets is Alphabet Inc.’s collection of experimental and high-risk ventures, such as Waymo and Verily, that explore innovative technologies beyond its core Google business.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Other Bets Target entity description: Other Bets is Alphabet Inc.’s collection of experimental and high-risk ventures, such as Waymo and Verily, that explore innovative technologies beyond its core Google business.
-
A.
Two Can Play That Game
Two Can Play That Game is a 2001 romantic comedy film about modern dating mind games, starring Vivica A. Fox and Morris Chestnut.
-
B.
Horseshoe
Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
-
C.
The Longshot
The Longshot is a punk rock side project fronted by Green Day’s Billie Joe Armstrong, known for its raw, garage-influenced sound.
-
D.
The Gamester
The Gamester is a Caroline-era tragicomedy play by English dramatist James Shirley, centered on themes of gambling, honor, and social intrigue.
-
E.
Golden Ball
The Golden Ball is the award presented to the best player of the FIFA Club World Cup tournament.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dcd2b208190855d5d8d70a3acfc |
completed | Feb. 28, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a38f537f1c8190a59ac4669498a3fc |
completed | March 1, 2026, 12:58 a.m. |
| NEDg | Description generation | batch_69a38fbfac808190b2b551dcbfe6faff |
completed | March 1, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3903779e88190a00c44a522e82022 |
completed | March 1, 2026, 1:02 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.