Triple
T8756445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GraphQL |
E208081
|
entity |
| Predicate | hasServerImplementation |
P8615
|
FINISHED |
| Object | Hot Chocolate |
E602670
|
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: Hot Chocolate | Statement: [GraphQL, hasServerImplementation, Hot Chocolate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hot Chocolate Context triple: [GraphQL, hasServerImplementation, Hot Chocolate]
-
A.
Hot Chocolate
chosen
Hot Chocolate was a British soul and funk band best known for 1970s and 1980s hits like "You Sexy Thing" and "Every 1's a Winner."
-
B.
Hot Chocolates
Hot Chocolates was a 1929 Broadway musical revue known for launching several jazz standards and showcasing prominent African American performers.
-
C.
Chocolate Me!
"Chocolate Me!" is a children's picture book that celebrates self-acceptance and embracing one's unique appearance, written by actor and author Taye Diggs.
-
D.
The Chocolate Boy Wonder
The Chocolate Boy Wonder is a nickname for Pete Rock, the influential American hip-hop producer and DJ known for his soulful, jazz-infused beats.
-
E.
Milkshake
"Milkshake" is a 2003 R&B song by American singer Kelis, best known for its catchy hook and enduring pop-culture presence.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ee850b88190a0294bcbe4045aa3 |
completed | March 31, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4338c0f88190a1e3f7ef164b6c6d |
completed | April 3, 2026, 4:34 a.m. |
Created at: March 30, 2026, 6:40 p.m.