Triple
T40614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time Inc. |
E802
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
People
People is a widely read American weekly magazine focusing on celebrity news, human-interest stories, and popular culture.
|
E3453
|
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: People | Statement: [Time Inc., notableWork, People]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: People Context triple: [Time Inc., notableWork, People]
-
A.
Poles
Poles are the ethnic and national group native to Poland, many of whom suffered persecution and mass murder under Nazi occupation during the Holocaust.
-
B.
U.S. citizens
U.S. citizens are individuals who hold legal nationality of the United States, granting them specific rights, protections, and responsibilities under U.S. law.
-
C.
Rogers
Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
-
D.
We
"We" is Charles Lindbergh’s autobiographical account of his historic 1927 solo nonstop flight across the Atlantic and the events surrounding it.
-
E.
You
"You" refers to the collective community of internet users whose user-generated content and online collaboration transformed media, culture, and communication in the digital age.
- 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: People Triple: [Time Inc., notableWork, People]
Generated description
People is a widely read American weekly magazine focusing on celebrity news, human-interest stories, and popular culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: People Target entity description: People is a widely read American weekly magazine focusing on celebrity news, human-interest stories, and popular culture.
-
A.
Poles
Poles are the ethnic and national group native to Poland, many of whom suffered persecution and mass murder under Nazi occupation during the Holocaust.
-
B.
U.S. citizens
U.S. citizens are individuals who hold legal nationality of the United States, granting them specific rights, protections, and responsibilities under U.S. law.
-
C.
Rogers
Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
-
D.
We
"We" is Charles Lindbergh’s autobiographical account of his historic 1927 solo nonstop flight across the Atlantic and the events surrounding it.
-
E.
You
"You" refers to the collective community of internet users whose user-generated content and online collaboration transformed media, culture, and communication in the digital age.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24adf3640819095576e072fb5d9a8 |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a24e6222408190bc317b90aea16849 |
completed | Feb. 28, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69a250f6c0308190affd58f1bfa0c261 |
completed | Feb. 28, 2026, 2:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a251b471688190b067c5db8f03ac47 |
completed | Feb. 28, 2026, 2:23 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.