Triple
T5098693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camille |
E114928
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Millie |
E429966
|
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: Millie | Statement: [Camille, hasDiminutive, Millie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Millie Context triple: [Camille, hasDiminutive, Millie]
-
A.
Millie Rusk
Millie Rusk is a fictional character portrayed by Jodie Comer in the film "Free Guy," where she plays a game developer who also appears in-game as the avatar Molotov Girl.
-
B.
Millie Crocker-Harris
Millie Crocker-Harris is a central character in Terence Rattigan’s play "The Browning Version," known as the embittered and unfaithful wife of the aging schoolmaster Andrew Crocker-Harris.
-
C.
Mia
Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
-
D.
Mia
chosen
Mia is a feminine given name used in many cultures, often as a short form of names like Maria or Amelia.
-
E.
Olivia
Olivia is a feminine given name of Latin origin meaning "olive tree," widely used in English-speaking countries and popularized by literature and modern media.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7567d21081909227ed8f08b74c71 |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba8529ec8190bb1e97eb1044c899 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:40 p.m.