Triple
T12866544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manne Dipico |
E307733
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Manne |
E626844
|
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: Manne | Statement: [Manne Dipico, givenName, Manne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manne Context triple: [Manne Dipico, givenName, Manne]
-
A.
Manne
chosen
Manne is a given name most notably borne by Swedish physicist Manne Siegbahn, a Nobel laureate recognized for his work in X-ray spectroscopy.
-
B.
Mannequin
Mannequin is a 1987 romantic comedy film about a young window dresser who falls in love with a department-store mannequin that magically comes to life, starring Kim Cattrall and Andrew McCarthy.
-
C.
Marcelle
Marcelle is a given name, typically a feminine form of Marcel, used in various cultures.
-
D.
Manya
Manya is a notable work by the artist Starboy, recognized within his body of music.
-
E.
Lucile
Lucile is a feminine given name of Latin origin, commonly associated with the name Lucille and meaning "light."
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708e0b788190b72a3057e271c227 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb092b88190b159f1d79156cf86 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:38 p.m.