Triple
T22485664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T Lavitz |
E555870
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
Players
Players is a jazz fusion band best known for featuring virtuoso keyboardist and composer T Lavitz.
|
E1538311
|
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: Players | Statement: [T Lavitz, memberOf, Players]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Players Context triple: [T Lavitz, memberOf, Players]
-
A.
Players
Players is a theatrical work by American playwright Dale Wasserman, best known for its exploration of complex characters and dramatic themes.
-
B.
Players
Players is a 1977 novel by Don DeLillo that follows a disaffected Wall Street couple whose lives become entangled with a terrorist conspiracy, exploring themes of alienation, media, and modern urban life.
-
C.
Players
Players is a 2012 Indian Hindi-language action thriller film, loosely based on the Hollywood movie "The Italian Job," featuring Sikandar Kher among an ensemble cast in a high-stakes heist plot.
-
D.
Player
Player is the self-titled debut studio album by the American soft rock band Player, best known for featuring their hit single "Baby Come Back."
-
E.
Player
Player is a common English surname shared by various individuals, including the renowned South African golfer Gary Player.
- 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: Players Triple: [T Lavitz, memberOf, Players]
Generated description
Players is a jazz fusion band best known for featuring virtuoso keyboardist and composer T Lavitz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Players Target entity description: Players is a jazz fusion band best known for featuring virtuoso keyboardist and composer T Lavitz.
-
A.
Players
Players is a 1977 novel by Don DeLillo that follows a disaffected Wall Street couple whose lives become entangled with a terrorist conspiracy, exploring themes of alienation, media, and modern urban life.
-
B.
Players
Players is a theatrical work by American playwright Dale Wasserman, best known for its exploration of complex characters and dramatic themes.
-
C.
Players
Players is a 2012 Indian Hindi-language action thriller film, loosely based on the Hollywood movie "The Italian Job," featuring Sikandar Kher among an ensemble cast in a high-stakes heist plot.
-
D.
Player
Player is the self-titled debut studio album by the American soft rock band Player, best known for featuring their hit single "Baby Come Back."
-
E.
Player
Player is a common English surname shared by various individuals, including the renowned South African golfer Gary Player.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3c6d808190b6dc70c3d1985bf3 |
completed | April 29, 2026, 1:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1267efb8819089124529fb7334a4 |
completed | May 18, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_6a0b142a78f88190ac02f8377a44cac4 |
completed | May 18, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b14a5f8ec8190bd30684a82cf5b6e |
completed | May 18, 2026, 1:31 p.m. |
Created at: April 16, 2026, 8:49 p.m.