Triple
T21040470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rag Trade |
E518306
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Lily |
—
|
NE NERFINISHED |
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: Lily | Statement: [The Rag Trade, hasCharacter, Lily]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lily Context triple: [The Rag Trade, hasCharacter, Lily]
-
A.
Lily
Lily is the central protagonist of the film "Damsels in Distress," around whom the story’s events and character dynamics revolve.
-
B.
Lily
Lily is a fictional character in the film "8 Mile," known as the younger half-sister of protagonist Jimmy Smith Jr. (Eminem).
-
C.
Lily
Lily is the middle name of Mary Lily Kenan, a prominent American heiress and philanthropist from the early 20th century.
-
D.
Lily
chosen
Lily is a character who appears alongside Rosemary in the same scene, suggesting a narrative or dramatic connection between them.
-
E.
Lily
Lily is one of the two young best friends in the children's picture book "The Sandwich Swap," which explores themes of cultural understanding and acceptance through their differing lunch traditions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fceed9148190903adb3b55f65242 |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:15 p.m.