Triple
T16171657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Sanborn |
E392451
|
entity |
| Predicate | romanticInterest |
P7325
|
FINISHED |
| Object | Erica Barry |
E398097
|
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: Erica Barry | Statement: [Harry Sanborn, romanticInterest, Erica Barry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erica Barry Context triple: [Harry Sanborn, romanticInterest, Erica Barry]
-
A.
Erica Barry
chosen
Erica Barry is the successful, middle-aged playwright portrayed by Diane Keaton in the romantic comedy film "Something's Gotta Give."
-
B.
Erica Gavin
Erica Gavin is an American actress best known for her starring roles in Russ Meyer’s cult exploitation films of the late 1960s and 1970s.
-
C.
Erica Hill
Erica Hill is an American journalist and television news anchor known for her work on major networks including CNN and NBC.
-
D.
Erica Sayers
Erica Sayers is a character in the psychological thriller film "Black Swan," serving as the overbearing and emotionally manipulative mother of the protagonist, Nina.
-
E.
Erica Sutton
Erica Sutton is a supporting character in the romantic comedy film "40 Days and 40 Nights," involved in the protagonist's life during his vow of celibacy.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb7ab1481908fc35bfc8c56e5f2 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffefc3e088190975ecbdaeba7ee84 |
completed | May 10, 2026, 3:43 a.m. |
Created at: April 10, 2026, 5:02 a.m.