Triple
T3934322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Spacey |
E90872
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fowler |
E343765
|
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: Fowler | Statement: [Kevin Spacey, familyName, Fowler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fowler Context triple: [Kevin Spacey, familyName, Fowler]
-
A.
Fowler
chosen
Fowler is a surname of English origin borne by numerous notable individuals across fields such as engineering, politics, sports, and the arts.
-
B.
Foster
Foster is a small rural town in western Rhode Island known for its forests, historic character, and low population density.
-
C.
Foster
Foster is a common English surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and academia.
-
D.
Ryle
Ryle is a surname most notably associated with Gilbert Ryle, a 20th-century British philosopher known for his critique of Cartesian dualism and the concept of the "ghost in the machine."
-
E.
Fuller
Fuller is a surname of English origin borne by numerous notable individuals across fields such as film, architecture, literature, and politics.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcbf0188190a5e828707a77752a |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5288b7538819084936489226dd31f |
completed | March 14, 2026, 9:21 a.m. |
Created at: March 9, 2026, 3:23 p.m.