Triple
T14941140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Leguizamo |
E372530
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Justine Maurer |
E372530
|
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: Justine Maurer | Statement: [John Leguizamo, spouse, Justine Maurer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justine Maurer Context triple: [John Leguizamo, spouse, Justine Maurer]
-
A.
Justine Maurer
chosen
Justine Maurer is an American costume designer best known for her long-term marriage to actor and comedian John Leguizamo.
-
B.
Justine Moritz
Justine Moritz is a gentle, devout young woman in Mary Shelley's "Frankenstein" who becomes a tragic victim of injustice when she is wrongfully executed for a murder committed by Victor Frankenstein's creature.
-
C.
Justine Maggart
Justine Maggart is an American singer and actress, known for her work in cabaret and musical theater.
-
D.
Justine Ciarrocchi
Justine Ciarrocchi is a film producer known for her work on contemporary American comedies such as "No Hard Feelings."
-
E.
Justine Waddell
Justine Waddell is a South African-born British actress known for her roles in period dramas and independent films, including the fantasy film "The Fall" (2006).
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64a2f24819099b21566756668a2 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ec7a4748190822e66a756bc95b9 |
completed | May 10, 2026, 11:40 a.m. |
Created at: April 10, 2026, 2:38 a.m.