Triple
T40631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time Inc. |
E802
|
entity |
| Predicate | ownedBrand |
P1500
|
FINISHED |
| Object | People |
E3453
|
NE FINISHED |
How this triple was built (2 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., ownedBrand, People]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: People Context triple: [Time Inc., ownedBrand, People]
-
A.
People
chosen
People is a widely read American weekly magazine focusing on celebrity news, human-interest stories, and popular culture.
-
B.
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.
-
C.
MAN
MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
-
D.
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.
-
E.
Nielson
Nielson is a surname and given name that functions as a spelling variant of Nelson, commonly of Scandinavian or English origin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a24ec1ef5481909daf99654dfa3f57 |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a255338b6c8190bb31101691ce689a |
completed | Feb. 28, 2026, 2:38 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.