Triple
T10173127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Allen |
E235781
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Off the Map |
E251790
|
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: Off the Map | Statement: [Joan Allen, notableWork, Off the Map]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Off the Map Context triple: [Joan Allen, notableWork, Off the Map]
-
A.
Off the Map
chosen
Off the Map is an American medical drama television series set in a remote South American clinic, known for featuring Mamie Gummer among its main cast.
-
B.
Off the Map
Off the Map is an album by the Silk Road Ensemble that showcases their cross-cultural, genre-blending approach to contemporary world music.
-
C.
On the Map
"On the Map" is a song featured on the Bruce Springsteen album "Long Walk Home."
-
D.
Map of Nowhere
Map of Nowhere is a detailed, allegorical artwork by British artist Grayson Perry that takes the form of a fantastical map exploring themes of identity, society, and contemporary culture.
-
E.
Never Lost
"Never Lost" is a song by American rapper Mudboy, known for its gritty production and introspective lyrics.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9f6dd8819081588600499165ee |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3010c386481908bc0c985c0b5ff93 |
completed | April 6, 2026, 12:40 a.m. |
Created at: March 30, 2026, 9:10 p.m.