Triple
T10470607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dante's Peak |
E246911
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Lauren Wando
Lauren Wando is a character in the disaster film "Dante's Peak," depicted as one of the children caught in the volcanic catastrophe threatening the town.
|
E879849
|
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: Lauren Wando | Statement: [Dante's Peak, character, Lauren Wando]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Wando Context triple: [Dante's Peak, character, Lauren Wando]
-
A.
Lauren Poultney
Lauren Poultney is a senior British police officer who serves as the Chief Constable of South Yorkshire Police.
-
B.
Lauren Dolgen
Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
-
C.
Lauren Barber
Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
-
D.
Lauren Parsekian
Lauren Parsekian is an American director and activist best known for co-founding the anti-bullying organization Kind Campaign and for her marriage to actor Aaron Paul.
-
E.
Lauren Perreau
Lauren Perreau is a lesser-known member of the Perreau family, related to American former child actress Gigi Perreau.
- 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: Lauren Wando Triple: [Dante's Peak, character, Lauren Wando]
Generated description
Lauren Wando is a character in the disaster film "Dante's Peak," depicted as one of the children caught in the volcanic catastrophe threatening the town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauren Wando Target entity description: Lauren Wando is a character in the disaster film "Dante's Peak," depicted as one of the children caught in the volcanic catastrophe threatening the town.
-
A.
Lauren Poultney
Lauren Poultney is a senior British police officer who serves as the Chief Constable of South Yorkshire Police.
-
B.
Lauren Dolgen
Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
-
C.
Lauren Barber
Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
-
D.
Lauren Parsekian
Lauren Parsekian is an American director and activist best known for co-founding the anti-bullying organization Kind Campaign and for her marriage to actor Aaron Paul.
-
E.
Lauren Perreau
Lauren Perreau is a lesser-known member of the Perreau family, related to American former child actress Gigi Perreau.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509305fec81908b1acd91ae1f875d |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9987838ac8190a6ba09305fc27621 |
completed | April 11, 2026, 12:40 a.m. |
| NEDg | Description generation | batch_69d99e8312188190bec3090f34a7b9b9 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d99f50e0888190b8e7b2547e1526af |
completed | April 11, 2026, 1:09 a.m. |
Created at: April 6, 2026, 12:20 p.m.