Triple
T3635761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stories and Pictures |
E77061
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Stories & Pictures |
E77061
|
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: Stories & Pictures | Statement: [Stories and Pictures, alsoKnownAs, Stories & Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stories & Pictures Context triple: [Stories and Pictures, alsoKnownAs, Stories & Pictures]
-
A.
Stories and Pictures
chosen
Stories and Pictures is a celebrated collection of Yiddish short stories by I. L. Peretz that helped define modern Jewish literature.
-
B.
Stories
Stories is Snapchat’s signature feature that lets users share photos and videos in a chronological sequence that disappears after 24 hours.
-
C.
The Stories
The Stories is the English translation of the name of Surah Al-Qasas, a chapter of the Qur’an that recounts key narratives of earlier prophets, especially the story of Moses.
-
D.
Some Stories
Some Stories is a collection of short works included within Hannah Arendt’s philosophical study The Human Condition.
-
E.
Contes
Contes is a small commune in southeastern France, located in the Alpes-Maritimes department near Nice on the French Riviera.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc325e2548190ae243ae69126e65c |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f1ec2bc8190ae88a2010f84e998 |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:24 p.m.