Triple
T9801493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Zoe Hart |
E237847
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Zoe Hart |
E278572
|
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: Zoe Hart | Statement: [Dr. Zoe Hart, fullName, Zoe Hart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoe Hart Context triple: [Dr. Zoe Hart, fullName, Zoe Hart]
-
A.
Zoe Hart
chosen
Zoe Hart is the main character of the TV series "Hart of Dixie," a New York doctor who moves to a small town in Alabama and navigates its tight-knit community and relationships.
-
B.
ZaSu Pitts
ZaSu Pitts was an American actress known for her distinctive comedic persona and expressive features, who appeared in both silent films and talkies throughout a long Hollywood career.
-
C.
Hattie Shaw
Hattie Shaw is a skilled MI6 field agent and the sister of Deckard Shaw in the Fast & Furious franchise, prominently featured in "Fast & Furious Presents: Hobbs & Shaw."
-
D.
Lola Kirke
Lola Kirke is an English-American actress and musician best known for her breakout role in the film "Mistress America" and her work in the series "Mozart in the Jungle."
-
E.
Lulie Swanson
Lulie Swanson was the woman who served as the sponsor for the U.S. Navy aircraft carrier USS Enterprise (CV-6) at its launching ceremony.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda62a11a88190880e0cce24923b14 |
completed | April 1, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e410df4081909e1b03f46e9ca42a |
completed | April 5, 2026, 4:24 a.m. |
Created at: March 30, 2026, 8:29 p.m.