Triple
T4521837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trolls (film) |
E103286
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Poppy
Poppy is the upbeat, pink-haired Troll princess who serves as the optimistic and determined protagonist of the animated film "Trolls."
|
E449516
|
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: Poppy | Statement: [Trolls (film), mainCharacter, Poppy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poppy Context triple: [Trolls (film), mainCharacter, Poppy]
-
A.
Poppy
Poppy is a glamorous love interest in the 1932 gangster film "Scarface," entangled in the dangerous world of crime and ambition surrounding the main character.
-
B.
Poppy Papava
Poppy Papava is a fictional character appearing in the James Bond continuation novel "Devil May Care" by Sebastian Faulks.
-
C.
Snowdrop
Snowdrop is a Mersey Ferry passenger vessel that operates on the River Mersey, carrying commuters and tourists between Liverpool and the Wirral.
-
D.
Bloom
Bloom is a common English and Jewish surname borne by numerous notable figures in literature, academia, and the arts.
-
E.
Bloom
Bloom is a large open-access multilingual language model developed by the BigScience research workshop for text generation and understanding tasks.
- 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: Poppy Triple: [Trolls (film), mainCharacter, Poppy]
Generated description
Poppy is the upbeat, pink-haired Troll princess who serves as the optimistic and determined protagonist of the animated film "Trolls."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Poppy Target entity description: Poppy is the upbeat, pink-haired Troll princess who serves as the optimistic and determined protagonist of the animated film "Trolls."
-
A.
Poppy
Poppy is a glamorous love interest in the 1932 gangster film "Scarface," entangled in the dangerous world of crime and ambition surrounding the main character.
-
B.
Poppy Papava
Poppy Papava is a fictional character appearing in the James Bond continuation novel "Devil May Care" by Sebastian Faulks.
-
C.
Snowdrop
Snowdrop is a Mersey Ferry passenger vessel that operates on the River Mersey, carrying commuters and tourists between Liverpool and the Wirral.
-
D.
Bloom
Bloom is a common English and Jewish surname borne by numerous notable figures in literature, academia, and the arts.
-
E.
Bloom
Bloom is a large open-access multilingual language model developed by the BigScience research workshop for text generation and understanding tasks.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd574bd6908190b939d92b5809b101 |
completed | March 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda43a82c08190b3d43efcee45a8ea |
completed | March 20, 2026, 7:47 p.m. |
| NEDg | Description generation | batch_69bda485290c8190ac2b7d93c5c5ac47 |
completed | March 20, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bda5883f148190b4e67f5ea6768440 |
completed | March 20, 2026, 7:52 p.m. |
Created at: March 20, 2026, 1:02 p.m.