Triple
T5475764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Dreyfuss |
E122947
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Emily Dreyfuss |
E211082
|
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: Emily Dreyfuss | Statement: [Harry Dreyfuss, hasRelative, Emily Dreyfuss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Dreyfuss Context triple: [Harry Dreyfuss, hasRelative, Emily Dreyfuss]
-
A.
Emily Dreyfuss
chosen
Emily Dreyfuss is an American journalist and writer known for her work on technology, politics, and digital culture for outlets such as WIRED and the Harvard Shorenstein Center.
-
B.
Rachel Marron
Rachel Marron is a famous pop singer and actress who becomes the client and love interest of a former Secret Service agent in the romantic thriller film "The Bodyguard."
-
C.
Victoria Strouse
Victoria Strouse is an American screenwriter best known for co-writing Pixar's animated film "Finding Dory."
-
D.
Lisa Weinstein
Lisa Weinstein is a film producer best known for her work on the acclaimed 1990 romantic fantasy drama "Ghost."
-
E.
Amy Ferson
Amy Ferson is an American journalist and commentator best known as the first wife of television personality and news anchor T. J. Holmes.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd923465c88190ad9c1b75b268f7ca |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16e69e9188190a4dd94c34657a74f |
completed | March 23, 2026, 4:46 p.m. |
Created at: March 20, 2026, 2:09 p.m.