Triple
T13941756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd Bridges |
E335272
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Todd |
E105339
|
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: Todd | Statement: [Todd Bridges, givenName, Todd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd Context triple: [Todd Bridges, givenName, Todd]
-
A.
Todd
chosen
Todd is the maiden surname of Mary Todd Lincoln, the First Lady of the United States during Abraham Lincoln’s presidency.
-
B.
Todd
Todd is a fictional character from the television series "The Grinder," known for his involvement in the show's comedic legal and family dynamics.
-
C.
Tim
Tim is the first name of American actor, writer, and director Tim Blake Nelson, known for his roles in films like "O Brother, Where Art Thou?" and "The Ballad of Buster Scruggs."
-
D.
Tim
Tim is a common masculine given name used in many English-speaking countries, often as a short form of Timothy.
-
E.
Tim
Tim is one of the core student characters in "The Magic School Bus" series, known for participating in Ms. Frizzle’s adventurous, science-filled field trips.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf6e29881908ddb8efca9a456a3 |
completed | April 14, 2026, 12:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce8bbd8c819084703298ed6d9c87 |
completed | May 3, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.