Triple
T10919312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Women (musical) |
E257903
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Laurie Laurence |
E259251
|
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: Laurie Laurence | Statement: [Little Women (musical), featuresCharacter, Laurie Laurence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurie Laurence Context triple: [Little Women (musical), featuresCharacter, Laurie Laurence]
-
A.
Laurie Laurence
chosen
Laurie Laurence is a central character in Louisa May Alcott's novel "Little Women," known as the charming, wealthy neighbor and close friend of the March sisters who later marries Amy March.
-
B.
Wendy Lawrence
Wendy Lawrence is a retired U.S. Navy captain and NASA astronaut who flew on multiple Space Shuttle missions as a mission specialist.
-
C.
Nicky Parsons
Nicky Parsons is a former CIA logistics technician and ally of Jason Bourne in the Bourne film series, known for her insider knowledge of the agency’s covert operations.
-
D.
Lorrie Marlow
Lorrie Marlow is known as the spouse of American actor and producer Robert Hooks.
-
E.
Laurie Gilkes
Laurie Gilkes is known as the spouse of American character actor Jack Weston.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77080317881909fc50ac3576cefa8 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2171adbbc8190916a5463b6e5c186 |
completed | April 17, 2026, 11:18 a.m. |
Created at: April 8, 2026, 9:22 p.m.