Triple
T11431150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Time |
E270882
|
entity |
| Predicate | writtenBy |
P806
|
FINISHED |
| Object |
Tom Waldman
Tom Waldman is an author and writer known for his work on the book "High Time."
|
E924962
|
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: Tom Waldman | Statement: [High Time, writtenBy, Tom Waldman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Waldman Context triple: [High Time, writtenBy, Tom Waldman]
-
A.
Jeff Weltman
Jeff Weltman is a basketball executive who serves as the top front-office decision-maker for the NBA’s Orlando Magic.
-
B.
Ed Vargo
Ed Vargo was a prominent Major League Baseball umpire who worked in the National League for over two decades and officiated multiple World Series and All-Star Games.
-
C.
Jim Manzi
Jim Manzi is an American businessman best known for leading Lotus Development Corporation as its CEO during the height of its success in the software industry.
-
D.
Frank Whaley
Frank Whaley is an American actor, director, and screenwriter known for his roles in films such as "Pulp Fiction," "Swimming with Sharks," and numerous independent movies.
-
E.
Steve Hurley
Steve Hurley is an American DJ, producer, and remixer known as a pioneering figure in Chicago house music.
- 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: Tom Waldman Triple: [High Time, writtenBy, Tom Waldman]
Generated description
Tom Waldman is an author and writer known for his work on the book "High Time."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Waldman Target entity description: Tom Waldman is an author and writer known for his work on the book "High Time."
-
A.
Jeff Weltman
Jeff Weltman is a basketball executive who serves as the top front-office decision-maker for the NBA’s Orlando Magic.
-
B.
Ed Vargo
Ed Vargo was a prominent Major League Baseball umpire who worked in the National League for over two decades and officiated multiple World Series and All-Star Games.
-
C.
Jim Manzi
Jim Manzi is an American businessman best known for leading Lotus Development Corporation as its CEO during the height of its success in the software industry.
-
D.
Frank Whaley
Frank Whaley is an American actor, director, and screenwriter known for his roles in films such as "Pulp Fiction," "Swimming with Sharks," and numerous independent movies.
-
E.
Steve Hurley
Steve Hurley is an American DJ, producer, and remixer known as a pioneering figure in Chicago house music.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c30d788190b0c939b33de89277 |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b8e212088190b611333d5de05757 |
completed | April 20, 2026, 5:25 a.m. |
| NEDg | Description generation | batch_69e5c28f24108190aa48ca90440d6d7f |
completed | April 20, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5c474d2c88190882a55ae6621daef |
completed | April 20, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:35 p.m.