Triple
T9510746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Meredith |
E229385
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Tom Taylor |
E131305
|
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: Tom Taylor | Statement: [Mary Meredith, creator, Tom Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Taylor Context triple: [Mary Meredith, creator, Tom Taylor]
-
A.
Tom Taylor
chosen
Tom Taylor was a 19th-century British dramatist and editor best known for his popular stage plays and his work as editor of the satirical magazine Punch.
-
B.
Don Taylor
Don Taylor was an American actor and later film and television director known for roles in classic films such as "Stalag 17" and for directing movies like "Escape from the Planet of the Apes."
-
C.
Kent Taylor
Kent Taylor was an American film and television actor best known for his roles in Westerns and crime dramas during the mid-20th century.
-
D.
Alex Tarrant
Alex Tarrant is a New Zealand actor known for his roles in television dramas and action series, including a lead role on NCIS: Hawaiʻi.
-
E.
Dan Talbot
Dan Talbot was an influential American film distributor and exhibitor known for championing foreign and independent cinema in the United States.
- 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_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9868616c8190856f89fecfa1a02e |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a31600c8190a4a7ecb5231caa36 |
completed | April 4, 2026, 4:20 p.m. |
Created at: March 30, 2026, 7:58 p.m.