Triple
T16858581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charly Gaul |
E409850
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Charly |
E95375
|
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: Charly | Statement: [Charly Gaul, givenName, Charly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charly Context triple: [Charly Gaul, givenName, Charly]
-
A.
Charly
Charly is a 1968 American drama film directed by Ralph Nelson, best known for Cliff Robertson’s Oscar-winning portrayal of a man with intellectual disabilities who undergoes an experimental intelligence-enhancing procedure.
-
B.
Charly
Charly is a Mexican sportswear and footwear brand known for producing soccer apparel, shoes, and equipment.
-
C.
Charly Baltimore
Charly Baltimore is a lethal, amnesiac secret agent who gradually uncovers her true identity in the action thriller film "The Long Kiss Goodnight."
-
D.
Charlene
chosen
Charlene is a feminine given name derived from the male name Charles.
-
E.
Frankie
"Frankie" is a 1985 hit single by the American vocal group Sister Sledge, known for its catchy pop-soul style and chart-topping success in the UK.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37ef4748190b149d98fc0ab4205 |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb25300c8190a352037c21c244bd |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.