Triple
T40628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time Inc. |
E802
|
entity |
| Predicate | ownedBrand |
P1500
|
FINISHED |
| Object | Life |
E3450
|
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: Life | Statement: [Time Inc., ownedBrand, Life]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Life Context triple: [Time Inc., ownedBrand, Life]
-
A.
Life
chosen
Life was a pioneering American photojournalism magazine published by Time Inc., renowned for its powerful photography and coverage of major 20th-century events and culture.
-
B.
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.
-
C.
Lee
Lee is a given name shared by numerous individuals across different cultures and professions.
-
D.
Ed
Ed is a common masculine given name, typically used as a short form of names such as Edward, Edwin, or Edmund.
-
E.
This Is My Story
This Is My Story is an autobiographical book by Eleanor Roosevelt recounting her early life, personal challenges, and path to public service and activism.
- 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.