Triple
T16986290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danielle Panabaker |
E412073
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Shark |
E239184
|
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: Shark | Statement: [Danielle Panabaker, appearedIn, Shark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shark Context triple: [Danielle Panabaker, appearedIn, Shark]
-
A.
Shark
chosen
Shark is an American legal drama television series starring James Woods as a ruthless but reforming Los Angeles prosecutor.
-
B.
Sharks
The Sharks are a professional rugby union team based in Durban, South Africa, competing in top-tier southern hemisphere competitions and known for their strong performances in Super Rugby.
-
C.
Sharks
Sharks is a Nigerian professional football club commonly known by its short name, Sharks.
-
D.
Sharks
The Sharks are a Puerto Rican street gang in the musical and film "West Side Story," serving as rivals to the white American gang, the Jets.
-
E.
Sharks
"Sharks" is a musical piece featured on the soundtrack of the animated film "James and the Giant Peach."
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d27b58908190a643bcbd105b1849 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc1109a081908890bbd5958c76c2 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.