Triple
T13240553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Little Hours |
E315267
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Liz Destro
Liz Destro is a film producer known for her work on independent and comedy features, including the medieval comedy "The Little Hours."
|
E1029454
|
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: Liz Destro | Statement: [The Little Hours, producer, Liz Destro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liz Destro Context triple: [The Little Hours, producer, Liz Destro]
-
A.
Rose Tico
Rose Tico is a Resistance mechanic-turned-hero in the Star Wars sequel trilogy who fights alongside Finn against the First Order.
-
B.
Dedra Meero
Dedra Meero is an ambitious and ruthless Imperial Security Bureau officer in the Star Wars series "Andor," known for her methodical pursuit of rebel activity.
-
C.
Ksenia Solo
Ksenia Solo is a Latvian-Canadian actress best known for her roles in the television series "Lost Girl," "Orphan Black," and "Turn: Washington's Spies."
-
D.
Marella Ciano
Marella Ciano was an Italian aristocrat and socialite, best known as the daughter of Edda Mussolini and granddaughter of dictator Benito Mussolini.
-
E.
Lara Lor-Van
Lara Lor-Van is a Kryptonian scientist and the biological mother of Superman (Kal-El) in the DC Comics universe.
- 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: Liz Destro Triple: [The Little Hours, producer, Liz Destro]
Generated description
Liz Destro is a film producer known for her work on independent and comedy features, including the medieval comedy "The Little Hours."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liz Destro Target entity description: Liz Destro is a film producer known for her work on independent and comedy features, including the medieval comedy "The Little Hours."
-
A.
Rose Tico
Rose Tico is a Resistance mechanic-turned-hero in the Star Wars sequel trilogy who fights alongside Finn against the First Order.
-
B.
Dedra Meero
Dedra Meero is an ambitious and ruthless Imperial Security Bureau officer in the Star Wars series "Andor," known for her methodical pursuit of rebel activity.
-
C.
Ksenia Solo
Ksenia Solo is a Latvian-Canadian actress best known for her roles in the television series "Lost Girl," "Orphan Black," and "Turn: Washington's Spies."
-
D.
Marella Ciano
Marella Ciano was an Italian aristocrat and socialite, best known as the daughter of Edda Mussolini and granddaughter of dictator Benito Mussolini.
-
E.
Lara Lor-Van
Lara Lor-Van is a Kryptonian scientist and the biological mother of Superman (Kal-El) in the DC Comics universe.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5850ac8190849a51da39efe5be |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff3438888190b4aecb0b67153ed9 |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f700cbb3708190884d05dd0dd22639 |
completed | May 3, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7031a4490819081da260edd969ee8 |
completed | May 3, 2026, 8:11 a.m. |
Created at: April 9, 2026, 9:23 p.m.