Triple
T11166683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amala |
E264175
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Candy |
unclear NED1
|
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: [Amala, hasPart, Candy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Candy Context triple: [Amala, hasPart, Candy]
-
A.
Candy
"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.
-
B.
Candy
Candy is a fictional character who appears in the setting known as Candy's Room.
-
C.
Candy
"Candy" is a 1999 pop song by American singer Mandy Moore that became her breakout hit and signature early single.
-
D.
Candy
Candy is a common feminine given name, often used as a diminutive of Candace or Candice.
-
E.
Candy
Candy is one of the reckless, party-obsessed college girls at the center of the crime drama film "Spring Breakers," portrayed by Vanessa Hudgens.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e88843cc81909e503f0921c6d297 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463945e40819087c6bdbc322a6d54 |
completed | April 19, 2026, 5:09 a.m. |
Created at: April 8, 2026, 9:29 p.m.