Triple
T3313374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Axel Foley |
E69624
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Foley |
E186171
|
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: Foley | Statement: [Axel Foley, familyName, Foley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foley Context triple: [Axel Foley, familyName, Foley]
-
A.
Foley
Foley is a small city in southern Alabama known for its proximity to Gulf Coast beaches and its role as a regional shopping and tourism hub.
-
B.
Foley
chosen
Foley is a common Irish surname historically associated with families from County Waterford and surrounding regions.
-
C.
Fink
Fink is a British singer-songwriter and producer known for his atmospheric blend of folk, blues, and electronic music.
-
D.
Fink
Fink is an open-source package management system that brings a wide range of Unix and open-source software to macOS by compiling and distributing it in a convenient, Debian-like format.
-
E.
Flahooley
Flahooley is a 1951 satirical Broadway musical known for its sharp political commentary and score by composer Sammy Fain with lyrics by E. Y. Harburg.
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0ef548481908b3aabc7052c70d8 |
completed | March 8, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3f760348190abd8854c369cb41b |
completed | March 12, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:11 p.m.