Triple
T16618917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Bello |
E403767
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object |
Lil
Lil is a character portrayed by Maria Bello, best known as the tough, enigmatic bar owner in the film "Coyote Ugly."
|
E1223930
|
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: Lil | Statement: [Maria Bello, characterPortrayed, Lil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lil Context triple: [Maria Bello, characterPortrayed, Lil]
-
A.
Lil
Lil is a key character in Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," set in a reputation-based future society centered around a Disney World-like theme park.
-
B.
Lil
Lil is the nickname and given name of Lil Hardin Armstrong, a pioneering American jazz pianist, composer, and bandleader.
-
C.
LIL
LIL is the IATA airport code for Lille Airport, the main international airport serving the Lille metropolitan area in northern France.
-
D.
Lil B
Lil B is an American rapper and internet cult figure known for his prolific output, unconventional style, and the creation of the "Based" philosophy and persona.
-
E.
Lil Favorite
Lil Favorite is a track from Ty Dolla $ign’s R&B/hip-hop album Beach House 3.
- 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: Lil Triple: [Maria Bello, characterPortrayed, Lil]
Generated description
Lil is a character portrayed by Maria Bello, best known as the tough, enigmatic bar owner in the film "Coyote Ugly."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lil Target entity description: Lil is a character portrayed by Maria Bello, best known as the tough, enigmatic bar owner in the film "Coyote Ugly."
-
A.
Lil
Lil is a key character in Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," set in a reputation-based future society centered around a Disney World-like theme park.
-
B.
Lil
Lil is the nickname and given name of Lil Hardin Armstrong, a pioneering American jazz pianist, composer, and bandleader.
-
C.
LIL
LIL is the IATA airport code for Lille Airport, the main international airport serving the Lille metropolitan area in northern France.
-
D.
Lil B
Lil B is an American rapper and internet cult figure known for his prolific output, unconventional style, and the creation of the "Based" philosophy and persona.
-
E.
Lil Favorite
Lil Favorite is a track from Ty Dolla $ign’s R&B/hip-hop album Beach House 3.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754bc4cc8190a586732fc6507b40 |
completed | April 18, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db0b4348190beb573bc3df98125 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e6507208190b3f32c05a2f647bd |
completed | May 10, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f2cefa081908734a907da33a72f |
completed | May 10, 2026, 12:50 p.m. |
Created at: April 10, 2026, 5:17 a.m.