Triple
T6494955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spencer Rascoff |
E148132
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object |
Queue
Queue is a technology startup co-founded by entrepreneur Spencer Rascoff, known for building products in the digital and consumer-tech space.
|
E597254
|
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: Queue | Statement: [Spencer Rascoff, coFounded, Queue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queue Context triple: [Spencer Rascoff, coFounded, Queue]
-
A.
Q line
The Q line is a New York City Subway service that runs along the BMT Brighton Line in Brooklyn and through Manhattan, connecting neighborhoods like Coney Island and Midtown.
-
B.
LFQQ
LFQQ is the ICAO airport code for Lille Airport, an international airport serving the Lille metropolitan area in northern France.
-
C.
QUIÑ
QUIÑ is an American R&B and soul singer-songwriter known for her ethereal, spacey sound and collaborations with artists like Masego and G-Eazy.
-
D.
The Q
The Q is a popular nickname for the Quebec Major Junior Hockey League, one of the three major junior ice hockey leagues that make up the Canadian Hockey League.
-
E.
The Q
The Q is the popular nickname for Qualcomm Stadium, the former multi-purpose sports venue in San Diego that hosted NFL and MLB games as well as major events.
- 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: Queue Triple: [Spencer Rascoff, coFounded, Queue]
Generated description
Queue is a technology startup co-founded by entrepreneur Spencer Rascoff, known for building products in the digital and consumer-tech space.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Queue Target entity description: Queue is a technology startup co-founded by entrepreneur Spencer Rascoff, known for building products in the digital and consumer-tech space.
-
A.
Q line
The Q line is a New York City Subway service that runs along the BMT Brighton Line in Brooklyn and through Manhattan, connecting neighborhoods like Coney Island and Midtown.
-
B.
LFQQ
LFQQ is the ICAO airport code for Lille Airport, an international airport serving the Lille metropolitan area in northern France.
-
C.
QUIÑ
QUIÑ is an American R&B and soul singer-songwriter known for her ethereal, spacey sound and collaborations with artists like Masego and G-Eazy.
-
D.
The Q
The Q is a popular nickname for the Quebec Major Junior Hockey League, one of the three major junior ice hockey leagues that make up the Canadian Hockey League.
-
E.
The Q
The Q is the popular nickname for Qualcomm Stadium, the former multi-purpose sports venue in San Diego that hosted NFL and MLB games as well as major events.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06ab7c0b8819091437a293b40dfd2 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653c21f948190989da451bc573b4d |
completed | March 27, 2026, 9:54 a.m. |
| NEDg | Description generation | batch_69c657fec3d4819080366e7469874c39 |
completed | March 27, 2026, 10:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c65bb97e908190ab05174bae4ed9a8 |
completed | March 27, 2026, 10:28 a.m. |
Created at: March 22, 2026, 4:53 p.m.