Triple
T14795663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alice Morgan |
E347770
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Alice
Alice is a fictional criminal psychologist and brilliant, manipulative sociopath from the British TV series "Luther."
|
E1121067
|
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: Alice | Statement: [Alice Morgan, givenName, Alice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alice Context triple: [Alice Morgan, givenName, Alice]
-
A.
Alice
Alice is the curious young girl who serves as the main protagonist of Disney’s animated film "Alice in Wonderland."
-
B.
Alice
Alice is a Direct Memory Access (DMA) controller used in Commodore's Amiga AGA chipset generation to handle high-speed data transfers between memory and peripherals.
-
C.
Alice
Alice is one of the given names of Anne, Princess Royal, the only daughter of Queen Elizabeth II and Prince Philip.
-
D.
Alice
Alice is an American sitcom that aired from the mid-1970s to the mid-1980s, following a widowed waitress working at a roadside diner and the quirky people in her life.
-
E.
Alice
"Alice" is a 2002 studio album by Tom Waits that blends dark cabaret, jazz, and experimental sounds, originally developed as music for a stage play collaboration with Robert Wilson.
- 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: Alice Triple: [Alice Morgan, givenName, Alice]
Generated description
Alice is a fictional criminal psychologist and brilliant, manipulative sociopath from the British TV series "Luther."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alice Target entity description: Alice is a fictional criminal psychologist and brilliant, manipulative sociopath from the British TV series "Luther."
-
A.
Alice
Alice is the superhuman protagonist of the Resident Evil film series, known for battling bioengineered monsters and the Umbrella Corporation in a post-apocalyptic world.
-
B.
Alice
Alice is a fictional character associated with mosquitoes, likely personifying or representing them in a narrative or creative context.
-
C.
Alice
Alice is the first name of English model, actress, and singer Suki Waterhouse.
-
D.
Alice
Alice is the conventional placeholder name used to represent a generic sender or participant in cryptographic protocols and security examples.
-
E.
Alice
Alice is an American sitcom that aired from the mid-1970s to the mid-1980s, following a widowed waitress working at a roadside diner and the quirky people in her life.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5fdd548190a2ee5e668c2b20b4 |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c0beb0819081a124479a849bb6 |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe2c102f8c8190b9ed567fd2946ed2 |
completed | May 8, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe2d898ae08190be30b5a12937a6a4 |
completed | May 8, 2026, 6:38 p.m. |
Created at: April 10, 2026, 1:31 a.m.