Triple
T14981579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oona Laurence |
E373587
|
entity |
| Predicate | hasRole |
P161
|
FINISHED |
| Object | Leila Hope in Southpaw |
E1121171
|
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: Leila Hope in Southpaw | Statement: [Oona Laurence, hasRole, Leila Hope in Southpaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leila Hope in Southpaw Context triple: [Oona Laurence, hasRole, Leila Hope in Southpaw]
-
A.
Hattie Shaw in Fast & Furious Presents: Hobbs & Shaw
Hattie Shaw is a skilled MI6 field agent and the estranged sister of Deckard Shaw who becomes central to the plot of Fast & Furious Presents: Hobbs & Shaw.
-
B.
Leila Hope
chosen
Leila Hope is the young daughter of fictional boxer Billy Hope in the 2015 film "Southpaw."
-
C.
Meagan Good
Meagan Good is an American actress known for her work in film and television, particularly in romantic comedies and dramas.
-
D.
Sandra in The Expendables
Sandra in *The Expendables* is a key supporting character who serves as a courageous local contact and moral anchor for the mercenary team during their mission.
-
E.
Melissa Hudson
Melissa Hudson is known as the daughter of Stanley Hudson, a character from the American television series "The Office."
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fe42a081909308f788fdf024d5 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bef015c8190bdfb1b9144b2a55c |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:52 a.m.