Triple
T15884253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Todd |
E385149
|
entity |
| Predicate | familyName |
P18
|
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: [Thomas Todd, familyName, Todd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd Context triple: [Thomas Todd, familyName, 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.
Todd
Todd is the given first name of American actor and comedian T. J. Miller.
-
D.
Tod
Tod is an ancient Egyptian town and archaeological site in Upper Egypt known for its temple dedicated to the god Montu and its significant Middle Kingdom remains.
-
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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156186b98819087b80ade6bd71a69 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa95651f88190a9aac72a667b999f |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.