Triple
T7162023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Parnell |
E166968
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Archer |
E345559
|
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: Archer | Statement: [Chris Parnell, notableWork, Archer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Archer Context triple: [Chris Parnell, notableWork, Archer]
-
A.
Archer
chosen
Archer is an animated adult comedy series known for its irreverent spy-themed humor and distinctive visual style, airing on the FX network.
-
B.
Archer
Archer is an English occupational surname historically given to bowmen and now borne by various notable individuals across fields such as music, politics, and sports.
-
C.
Green Archer
Green Archer is a mysterious, hooded vigilante archer character known from classic crime and mystery fiction and its film adaptations.
-
D.
Archer Clive
Archer Clive was a 19th-century English lawyer and writer, best known in literary history as the husband of novelist and poet Caroline Clive.
-
E.
Michael Archer
Michael Archer is an Australian paleontologist and evolutionary biologist known for his research on marsupials and other Australasian mammals.
- 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e82e4b248190ad3c3863cb93971e |
completed | March 27, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adc4b7648190969fab0351f9fd22 |
completed | March 28, 2026, 10:30 a.m. |
Created at: March 27, 2026, 2:47 p.m.