Triple
T7441395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauren Sánchez |
E171761
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
Extra
Extra is an American entertainment news television program that covers celebrity news, gossip, and pop culture.
|
E664889
|
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: Extra | Statement: [Lauren Sánchez, employer, Extra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Extra Context triple: [Lauren Sánchez, employer, Extra]
-
A.
Extra
Extra is a popular sugar-free chewing gum brand produced by the Wrigley Company, known for its long-lasting flavor and wide variety of mint and fruit options.
-
B.
Every Day Is Extra
Every Day Is Extra is a memoir by former U.S. Secretary of State John Kerry, recounting his life, military service in Vietnam, and decades-long political career.
-
C.
Super Deluxe
Super Deluxe is a critically acclaimed 2019 Tamil anthology film known for its dark humor, nonlinear storytelling, and exploration of taboo social themes.
-
D.
PlusPlus
PlusPlus is a related sister channel to the 1+1 television network, offering its own lineup of entertainment programming.
-
E.
The Extra Day
The Extra Day is a 1956 British comedy film starring Sydney Chaplin, centered on the humorous misadventures that occur when a film production is unexpectedly delayed.
- 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: Extra Triple: [Lauren Sánchez, employer, Extra]
Generated description
Extra is an American entertainment news television program that covers celebrity news, gossip, and pop culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Extra Target entity description: Extra is an American entertainment news television program that covers celebrity news, gossip, and pop culture.
-
A.
Extra
Extra is a popular sugar-free chewing gum brand produced by the Wrigley Company, known for its long-lasting flavor and wide variety of mint and fruit options.
-
B.
Every Day Is Extra
Every Day Is Extra is a memoir by former U.S. Secretary of State John Kerry, recounting his life, military service in Vietnam, and decades-long political career.
-
C.
Super Deluxe
Super Deluxe is a critically acclaimed 2019 Tamil anthology film known for its dark humor, nonlinear storytelling, and exploration of taboo social themes.
-
D.
PlusPlus
PlusPlus is a related sister channel to the 1+1 television network, offering its own lineup of entertainment programming.
-
E.
The Extra Day
The Extra Day is a 1956 British comedy film starring Sydney Chaplin, centered on the humorous misadventures that occur when a film production is unexpectedly delayed.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f36b9a3c81908abcc2a64d3e6061 |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827976b9081909ac722b397ae0d97 |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c82817899081909436781c9f249c1d |
completed | March 28, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c828a5c2f88190aedd55d40520c672 |
completed | March 28, 2026, 7:14 p.m. |
Created at: March 27, 2026, 3:13 p.m.