Triple
T12773787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolly Winthrop |
E305315
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dolly |
E869747
|
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: Dolly | Statement: [Dolly Winthrop, givenName, Dolly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolly Context triple: [Dolly Winthrop, givenName, Dolly]
-
A.
Dolly
Dolly is a legendary American country music singer-songwriter, actress, and philanthropist renowned for hits like "Jolene" and "9 to 5."
-
B.
Dolly
Dolly is a character connected to Bonnie Anderson in the Toy Story franchise, likely one of the toys residing in her household.
-
C.
Dolly
chosen
Dolly is the nickname of Dolores Haze, the young girl at the center of Vladimir Nabokov’s novel "Lolita."
-
D.
Dolly the sheep
Dolly the sheep was the first mammal successfully cloned from an adult somatic cell, becoming a landmark figure in biotechnology and genetics.
-
E.
Bessie Limpet
Bessie Limpet is the practical, no-nonsense wife of the timid bookkeeper-turned-fish in the 1964 fantasy-comedy film "The Incredible Mr. Limpet."
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df5b68481908a5d40516b09be52 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684fcd4b48190ab610efffcbd1546 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:28 p.m.