Triple
T2856447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Taylor |
E63210
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Taylor |
E63210
|
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: Taylor | Statement: [Charles Taylor, hasSurname, Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taylor Context triple: [Charles Taylor, hasSurname, Taylor]
-
A.
Taylor
Taylor is a suburban city in Wayne County, Michigan, known for its residential communities and proximity to Detroit.
-
B.
Taylor
chosen
Taylor is a common English surname borne by numerous notable individuals across fields such as politics, arts, sports, and academia.
-
C.
Tyler
Tyler is the officer in a Masonic lodge responsible for guarding the entrance and ensuring only qualified individuals are admitted to meetings.
-
D.
Tyler
Tyler is a surname most prominently associated with American actress Liv Tyler and various other notable figures in entertainment and public life.
-
E.
Ace
Ace is the blue jay bird mascot of Major League Baseball’s Toronto Blue Jays, known for entertaining fans at the team’s home games.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf62308081908a65decdd5d6f918 |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108ca2c108190b0a341cf039a82bf |
completed | March 11, 2026, 6:16 a.m. |
Created at: March 6, 2026, 10:02 p.m.