Triple
T6449013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pickup on South Street |
E139815
|
entity |
| Predicate | mainCharacter |
P1183
|
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: [Pickup on South Street, mainCharacter, Candy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Candy Context triple: [Pickup on South Street, mainCharacter, 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 Shop
"Candy Shop" is a 2005 hip hop single by 50 Cent featuring Olivia, produced by Scott Storch, known for its seductive lyrics and catchy, club-oriented beat.
- 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_69c008b301948190a35854e5284dc822 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069b1a61c81908610264c098d25b0 |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bcfc7388190877ad702ea44802d |
completed | March 27, 2026, 9:20 a.m. |
Created at: March 22, 2026, 4:47 p.m.