Triple
T19438680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna D. Shapiro |
E486294
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Shapiro |
—
|
NE NERFINISHED |
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: Shapiro | Statement: [Anna D. Shapiro, familyName, Shapiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shapiro Context triple: [Anna D. Shapiro, familyName, Shapiro]
-
A.
Shapiro
chosen
Shapiro is a surname of Jewish origin commonly borne by individuals of Ashkenazi descent.
-
B.
Shulman
Shulman is a surname of Jewish origin borne by various notable individuals in fields such as literature, academia, and the arts.
-
C.
Shapley
Shapley is a surname most notably associated with American astronomer Harlow Shapley, a key figure in determining the size and structure of the Milky Way galaxy.
-
D.
Shriver
Shriver is a prominent American family name associated with notable figures in politics, public service, and media.
-
E.
Shorofsky
Shorofsky is a stern but caring music teacher and mentor character from the television series "Fame."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6336281b88190b1e5ad2606d7c314 |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:38 p.m.