Triple
T17023391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debbi Morgan |
E413001
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Port Charles |
E387728
|
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: Port Charles | Statement: [Debbi Morgan, notableWork, Port Charles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port Charles Context triple: [Debbi Morgan, notableWork, Port Charles]
-
A.
Port Charles
chosen
Port Charles is the fictional upstate New York town that serves as the primary setting for the long-running American soap opera "General Hospital."
-
B.
Port Sebastian (fictional town)
Port Sebastian is a fictional seafaring town often depicted as a bustling pirate haven filled with ships, taverns, and lawless adventure.
-
C.
Coast City
Coast City is a major fictional American coastal metropolis in the DC Universe, best known as the longtime home of Green Lantern Hal Jordan.
-
D.
Genoa City
Genoa City is the fictional Midwestern town that serves as the primary setting for the long-running American soap opera "The Young and the Restless."
-
E.
Amity Harbor
Amity Harbor is a small waterfront hamlet on Long Island in Suffolk County, New York, known for its residential canals and proximity to Great South Bay.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d2abbc81908943becf5f539fc6 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b514de481909c78c17a3014b468 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.