Triple
T15382984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pikmin species |
E367847
|
entity |
| Predicate | loyalTo |
P1201
|
FINISHED |
| Object |
Charlie
Charlie is a key captain and leader figure in the Pikmin video game series, known for commanding and guiding Pikmin on exploratory missions.
|
E493976
|
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: Charlie | Statement: [Pikmin species, loyalTo, Charlie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlie Context triple: [Pikmin species, loyalTo, Charlie]
-
A.
Charlie
Charlie is a central character in the romantic comedy film "French Kiss," serving as the unfaithful fiancé whose actions set the story’s events in motion.
-
B.
Charlie
Charlie is the given name of English actor and producer Charlie Bewley, known for his role as Demetri in the Twilight film series.
-
C.
Charlie
Charlie is a fictional character from Stephen Adly Guirgis’s gritty stage play "In Arabia We’d All Be Kings," which portrays the lives of struggling New Yorkers in a rapidly gentrifying Hell’s Kitchen.
-
D.
Charlie
Charlie is a classic Revlon perfume line known for its accessible, youthful, and independent image, especially popular from the 1970s onward.
-
E.
Charlie
Charlie is the ambitious New York City hustler and small-time crook who serves as the central protagonist in the crime drama film "The Pope of Greenwich Village."
- 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: Charlie Triple: [Pikmin species, loyalTo, Charlie]
Generated description
Charlie is a key captain and leader figure in the Pikmin video game series, known for commanding and guiding Pikmin on exploratory missions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charlie Target entity description: Charlie is a key captain and leader figure in the Pikmin video game series, known for commanding and guiding Pikmin on exploratory missions.
-
A.
Charlie
chosen
Charlie is the yellow-suited captain and one of the three main playable leaders in Pikmin 3, known for commanding Pikmin on the planet PNF-404.
-
B.
Charlie
Charlie is a person whose full name is Charlie Watson.
-
C.
Charlie
Charlie is the kind-hearted young protagonist of Roald Dahl's novel "Charlie and the Chocolate Factory."
-
D.
Charlie
Charlie is the rainbow-unicorn hybrid daughter of Lady Rainicorn and Jake the Dog in the animated series "Adventure Time."
-
E.
Charlie
Charlie is a fictional character from the television series "Deadwood," known as a loyal friend and ally of Wild Bill Hickok and Seth Bullock.
- F. None of above.
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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7397188190bde42b897ab4b5b4 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b5bc43c81908ffdb7819e3660d9 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0c1171d4819099e0d0e1411059b2 |
completed | May 9, 2026, 10:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff10a360f8819098c8c9700b062478 |
completed | May 9, 2026, 10:46 a.m. |
Created at: April 10, 2026, 3:19 a.m.