Triple
T15676620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lara Spencer |
E377458
|
entity |
| Predicate | hostOf |
P105
|
FINISHED |
| Object |
Flea Market Flip
Flea Market Flip is a reality TV competition series where contestants buy, transform, and resell flea market finds for profit.
|
E1170611
|
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: Flea Market Flip | Statement: [Lara Spencer, hostOf, Flea Market Flip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flea Market Flip Context triple: [Lara Spencer, hostOf, Flea Market Flip]
-
A.
Flipt
Flipt is a casual dining restaurant located inside Rivers Casino Des Plaines, known for serving classic American comfort food like burgers and sandwiches.
-
B.
Mr. Flip
Mr. Flip is a 1909 silent comedy short film starring cross-eyed comedian Ben Turpin, often cited for featuring one of the earliest known instances of a pie-in-the-face gag in cinema.
-
C.
Flip
Flip is a component or feature that forms part of the larger system or entity known as Zaba.
-
D.
Flip 3D
Flip 3D is a Windows desktop navigation feature that presents open windows in a 3D stacked view, allowing users to cycle through them with a visual flipping effect.
-
E.
Fidgit
Fidgit is a fictional character known as one of Kevin’s quirky companions in the fantasy film “Time Bandits.”
- 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: Flea Market Flip Triple: [Lara Spencer, hostOf, Flea Market Flip]
Generated description
Flea Market Flip is a reality TV competition series where contestants buy, transform, and resell flea market finds for profit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flea Market Flip Target entity description: Flea Market Flip is a reality TV competition series where contestants buy, transform, and resell flea market finds for profit.
-
A.
Flipt
Flipt is a casual dining restaurant located inside Rivers Casino Des Plaines, known for serving classic American comfort food like burgers and sandwiches.
-
B.
Mr. Flip
Mr. Flip is a 1909 silent comedy short film starring cross-eyed comedian Ben Turpin, often cited for featuring one of the earliest known instances of a pie-in-the-face gag in cinema.
-
C.
Flip
Flip is a component or feature that forms part of the larger system or entity known as Zaba.
-
D.
Flip 3D
Flip 3D is a Windows desktop navigation feature that presents open windows in a 3D stacked view, allowing users to cycle through them with a visual flipping effect.
-
E.
Fidgit
Fidgit is a fictional character known as one of Kevin’s quirky companions in the fantasy film “Time Bandits.”
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2e10a4819097eba1ea31e36ac2 |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee0446881909e9c2504d51d49a3 |
completed | May 9, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69ff6fb61144819085460226d406161d |
completed | May 9, 2026, 5:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff705b1ea08190bf08b99c19715e57 |
completed | May 9, 2026, 5:35 p.m. |
Created at: April 10, 2026, 4:16 a.m.