Triple
T13252381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristine Lilly |
E315564
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lilly |
E372384
|
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: Lilly | Statement: [Kristine Lilly, familyName, Lilly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lilly Context triple: [Kristine Lilly, familyName, Lilly]
-
A.
Lilly
chosen
Lilly is the surname of Bob Lilly, a Pro Football Hall of Fame defensive tackle best known for his career with the Dallas Cowboys.
-
B.
Lilly
Lilly Wachowski is an American filmmaker best known as one of the Wachowski sisters, the co-creators of The Matrix film series.
-
C.
Lillie
Lillie is the given name of Lillie Hitchcock Coit, a famed 19th-century San Francisco socialite and patron associated with the city’s firefighting history.
-
D.
Lily
Lily is a pivotal character in the psychological thriller film "Black Swan," serving as a seductive and enigmatic rival whose presence intensifies the protagonist's descent into paranoia and self-destruction.
-
E.
Lily
Lily is a feminine given name of English origin commonly associated with the lily flower and symbolizing purity and beauty.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f73423c8190932a9edac56df383 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a3b8ca48190863aff25f12d0e7e |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:24 p.m.