Triple
T10531897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lolita |
E248462
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Dolly
Dolly is the nickname of Dolores Haze, the young girl at the center of Vladimir Nabokov’s novel "Lolita."
|
E869747
|
NE FINISHED |
How this triple was built (4 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: [Lolita, alsoKnownAs, Dolly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolly Context triple: [Lolita, alsoKnownAs, 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 the sheep
Dolly the sheep was the first mammal successfully cloned from an adult somatic cell, becoming a landmark figure in biotechnology and genetics.
-
D.
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."
-
E.
Bessie
Bessie is one of the central child protagonists in Enid Blyton’s classic fantasy series "The Magic Faraway Tree," known for her sensible and caring nature during the siblings’ adventures.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dolly Triple: [Lolita, alsoKnownAs, Dolly]
Generated description
Dolly is the nickname of Dolores Haze, the young girl at the center of Vladimir Nabokov’s novel "Lolita."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dolly Target entity description: Dolly is the nickname of Dolores Haze, the young girl at the center of Vladimir Nabokov’s novel "Lolita."
-
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 the sheep
Dolly the sheep was the first mammal successfully cloned from an adult somatic cell, becoming a landmark figure in biotechnology and genetics.
-
D.
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."
-
E.
Bessie
Bessie is a feminine given name most famously associated with legendary American blues singer Bessie Smith.
- F. None of above. chosen
Provenance (5 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a17f23081909f3372e160e21670 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e471e9c8190b134249073b289bd |
completed | April 10, 2026, 2:50 p.m. |
| NEDg | Description generation | batch_69d9107f488481908845aef0fdf6d60d |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911790010819093fc50952502fd59 |
completed | April 10, 2026, 3:04 p.m. |
Created at: April 6, 2026, 12:30 p.m.