Triple
T14154939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coral Bell |
E350790
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Coral |
E810507
|
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: Coral | Statement: [Coral Bell, givenName, Coral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coral Context triple: [Coral Bell, givenName, Coral]
-
A.
Coral
Coral is a major UK-based betting and gaming company known for its nationwide chain of bookmakers and online gambling services.
-
B.
Coral
chosen
Coral is a minor but pivotal character in Pixar's animated film "Finding Nemo," known as Marlin's mate and the mother of Nemo whose death sets the story in motion.
-
C.
Black Coral
"Black Coral" is a rock song by the Stills-Young Band, the short-lived collaboration between Stephen Stills and Neil Young in the mid-1970s.
-
D.
Kinda Coral
Kinda Coral is a soft, pastel pinkish-orange color variant used as one of the signature finishes for Google’s Pixel 6 smartphone.
-
E.
Supercoralli
Supercoralli is a prominent literary fiction series by the Italian publisher Einaudi, known for showcasing acclaimed contemporary and classic authors.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6135744c81909a43d659f5fe2895 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7ec6448819087e50aac964ec637 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 12:58 a.m.