Triple
T14711278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Swan |
E345552
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Charlie
Charlie is the first name of Charlie Swan, the fictional police chief and Bella Swan’s father in the Twilight series.
|
E1117084
|
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: [Charlie Swan, givenName, Charlie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlie Context triple: [Charlie Swan, givenName, Charlie]
-
A.
Charlie
Charlie is a fictional character portrayed by American actor Jared Rushton, best known for his roles in late-1980s films.
-
B.
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.
-
C.
Charlie
"Charlie" is a 2022 pop album by American singer-songwriter Charlie Puth that showcases his hook-driven production and personal, introspective songwriting.
-
D.
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.
-
E.
Charlie
Charlie is a classic Revlon perfume line known for its accessible, youthful, and independent image, especially popular from the 1970s onward.
- 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: [Charlie Swan, givenName, Charlie]
Generated description
Charlie is the first name of Charlie Swan, the fictional police chief and Bella Swan’s father in the Twilight series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charlie Target entity description: Charlie is the first name of Charlie Swan, the fictional police chief and Bella Swan’s father in the Twilight series.
-
A.
Charlie
Charlie is the given name of English actor and producer Charlie Bewley, known for his role as Demetri in the Twilight film series.
-
B.
Charlie
Charlie is a common English given name, often used as a diminutive of Charles or Charlotte.
-
C.
Charlie
Charlie is the kind-hearted young protagonist of Roald Dahl's novel "Charlie and the Chocolate Factory."
-
D.
Charlie
Charlie is the given name of the British philosopher and Cambridge academic C. D. Broad.
-
E.
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.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb9814e0c8190984ac30d276499cc |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb845de08190b933d90809cde830 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdffa3b03c819094692ec99e48c851 |
completed | May 8, 2026, 3:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdfff147988190800d74b49bf6adf1 |
completed | May 8, 2026, 3:23 p.m. |
Created at: April 10, 2026, 1:28 a.m.