Triple
T5500348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alice Eve |
E144310
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Alice Eve |
E144310
|
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: Alice Eve | Statement: [Alice Eve, name, Alice Eve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alice Eve Context triple: [Alice Eve, name, Alice Eve]
-
A.
Alice Eve
chosen
Alice Eve is a British actress known for her roles in films such as "Star Trek Into Darkness," "She's Out of My League," and "Men in Black 3."
-
B.
Teresa Palmer
Teresa Palmer is an Australian actress known for her roles in films such as "Warm Bodies," "Lights Out," and "Hacksaw Ridge."
-
C.
Kelly Reilly
Kelly Reilly is an English actress known for her roles in films like "Flight" and the "Sherlock Holmes" series, as well as the television drama "Yellowstone."
-
D.
Eva Green
Eva Green is a French actress known for her dark, intense performances in film and television, including prominent roles in projects like "Casino Royale" and "Penny Dreadful."
-
E.
Rebecca Ferguson
Rebecca Ferguson is a Swedish actress known for her versatile performances in films such as the Mission: Impossible series, The Greatest Showman, and Dune.
- 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_69c008f5a2748190bce7a39aabf87a6d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01b921884819082fe30100c71e516 |
completed | March 22, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0279bff0481908b157a09499e8610 |
completed | March 22, 2026, 5:32 p.m. |
Created at: March 22, 2026, 3:32 p.m.