Triple
T2586327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mort Goldman |
E58012
|
entity |
| Predicate | homeTown |
P5864
|
FINISHED |
| Object | Quahog |
E54923
|
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: Quahog | Statement: [Mort Goldman, homeTown, Quahog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quahog Context triple: [Mort Goldman, homeTown, Quahog]
-
A.
Quahog, Rhode Island
chosen
Quahog, Rhode Island is the fictional New England town that serves as the primary setting for the animated television series Family Guy.
-
B.
Amity Harbor
Amity Harbor is the fictional seaside port town featured in the "Jaws" franchise as the central setting for its shark-related events.
-
C.
Stone Harbor
Stone Harbor is a small, upscale seaside resort town on the southern New Jersey coast known for its beaches, bird sanctuary, and family-oriented vacation atmosphere.
-
D.
Houthaven
Houthaven is a former industrial harbor area in Amsterdam that has been redeveloped into a modern residential and mixed-use waterfront neighborhood.
-
E.
Old Town
Old Town is the historic waterfront district of Alexandria, Virginia, known for its preserved 18th- and 19th-century architecture, cobblestone streets, and vibrant shops and restaurants.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd3f6f6ac8190abff7b8b6ff3c023 |
completed | March 7, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83ba83c48190bf65ff666830c758 |
completed | March 10, 2026, 2:36 a.m. |
Created at: March 6, 2026, 9:49 p.m.