Triple
T6755950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessa Johansson |
E154458
|
entity |
| Predicate | friendOf |
P8712
|
FINISHED |
| Object | Shoshanna Shapiro |
E184728
|
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: Shoshanna Shapiro | Statement: [Jessa Johansson, friendOf, Shoshanna Shapiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shoshanna Shapiro Context triple: [Jessa Johansson, friendOf, Shoshanna Shapiro]
-
A.
Shoshanna Shapiro
chosen
Shoshanna Shapiro is a bubbly, fast-talking, and naive yet increasingly self-assured young woman featured as one of the core friends navigating adulthood in the TV series "Girls."
-
B.
Sydney Shapiro
Sydney Shapiro is an American actress and former model best known as the wife of Uber CEO Dara Khosrowshahi.
-
C.
Bathsheba Zylberman
Bathsheba Zylberman was the mother of Nobel Prize–winning Yiddish writer Isaac Bashevis Singer and a formative influence from his traditional Jewish family background.
-
D.
Deborah Pines
Deborah Pines is an American physician and writer best known as the wife of journalist and author Tony Schwartz.
-
E.
Hannah Shoenfeld
Hannah Shoenfeld is a driven and morally conflicted talent booker on the TV drama "The Morning Show," whose storyline explores power dynamics, workplace abuse, and the personal cost of speaking out.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1f5ab0881908619b835b9f068d4 |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723c3eb4881909c9c8d1258f461d9 |
completed | March 28, 2026, 12:41 a.m. |
Created at: March 27, 2026, 2:11 p.m.