Triple
T11599805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esther Blodgett |
E275098
|
entity |
| Predicate | romanticRelationshipWith |
P9994
|
FINISHED |
| Object | Norman Maine |
E373434
|
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: Norman Maine | Statement: [Esther Blodgett, romanticRelationshipWith, Norman Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Maine Context triple: [Esther Blodgett, romanticRelationshipWith, Norman Maine]
-
A.
Norman Maine
chosen
Norman Maine is the fading movie star whose tragic decline contrasts with his wife's rising fame in the classic film "A Star Is Born."
-
B.
Gray, Maine
Gray, Maine is a small New England town in southern Maine known for its rural character, proximity to Portland, and the Maine Wildlife Park.
-
C.
Warren, Maine
Warren, Maine is a small town in Knox County known for its rural character and location along the St. George River in midcoast Maine.
-
D.
Clinton, Maine
Clinton, Maine is a small rural town in central Maine known for its agricultural character and location along the Sebasticook River.
-
E.
Mercer, Maine
Mercer, Maine is a small rural town located in Somerset County in the central part of the state.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8954c3c248190bcccd4c7ff667b3a |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd9495b9748190905b02621939b326 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 8, 2026, 9:38 p.m.