Triple
T9825957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry Southern |
E238652
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Candy |
E534107
|
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: Candy | Statement: [Terry Southern, notableWork, Candy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Candy Context triple: [Terry Southern, notableWork, Candy]
-
A.
Candy
Candy is a common English surname shared by various individuals, including the late Canadian actor and comedian John Candy.
-
B.
Candy
"Candy" is a 2012 pop single by British singer Robbie Williams, known for its catchy, upbeat melody and chart-topping success in several countries.
-
C.
Candy
"Candy" is a song by the band Broken Silence.
-
D.
Candy
chosen
"Candy" is a 1968 satirical comedy film, loosely based on Voltaire’s "Candide," known for its psychedelic style and ensemble cast including Anita Pallenberg, Marlon Brando, and Ringo Starr.
-
E.
Candy
Candy is a fictional character who appears in the setting known as Candy's Room.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb32370e8819087c85fb8328587be |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc84b0a481909000a0f04e3676d0 |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:31 p.m.