Triple
T10656806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fay Holden |
E251109
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Emily Hardy |
E528232
|
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 Hardy | Statement: [Fay Holden, portrayed, Emily Hardy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Hardy Context triple: [Fay Holden, portrayed, Emily Hardy]
-
A.
Emily Hardy
chosen
Emily Hardy is a supporting character in the Andy Hardy film series, appearing as part of the Hardy family ensemble in the 1942 movie "Andy Hardy’s Double Life."
-
B.
Rose Hardy
Rose Hardy is a renowned tattoo artist recognized for her expertise and public profile, including serving as a judge on the reality competition series "Ink Master."
-
C.
Elizabeth Anne Hardy
Elizabeth Anne Hardy is the mother of English actor Tom Hardy.
-
D.
Emma Pritchard
Emma Pritchard is an actress known for her role in the romantic comedy film "The Holiday."
-
E.
Emily Harper
Emily Harper is a fictional character from the work "The Masks," likely serving as a central figure whose experiences and personality drive the story’s themes and conflicts.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e0157dbc81909ef7d61f65b2fd93 |
completed | April 8, 2026, 11:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a7aa490819094c7eaf3fc5e2c43 |
completed | April 10, 2026, 10:32 p.m. |
Created at: April 8, 2026, 9:07 p.m.