Triple
T20997398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 8½ Women |
E517184
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Matthew Delamere
Matthew Delamere is a British actor best known for his role in Peter Greenaway’s film "8½ Women."
|
E1462090
|
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: Matthew Delamere | Statement: [8½ Women, starring, Matthew Delamere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Delamere Context triple: [8½ Women, starring, Matthew Delamere]
-
A.
Myles Falworth
Myles Falworth is the young squire-turned-knight protagonist of Howard Pyle’s historical novel "Men of Iron," known for his chivalry, courage, and quest to restore his family’s honor in medieval England.
-
B.
Jordan Royall
Jordan Royall is an individual recognized as a notable bearer of the Royall surname.
-
C.
Matthew Cradock
Matthew Cradock was a 17th-century English merchant and politician who served as the first governor of the Massachusetts Bay Company and was an early patron of the Massachusetts Bay Colony.
-
D.
Harrison Knight
Harrison Knight is an actor known for playing the character Texas Ranger Bobby.
-
E.
Jeremy Londene
Jeremy Londene is a musician best known for his past role as a member of the emo/alternative rock band Dashboard Confessional.
- 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: Matthew Delamere Triple: [8½ Women, starring, Matthew Delamere]
Generated description
Matthew Delamere is a British actor best known for his role in Peter Greenaway’s film "8½ Women."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew Delamere Target entity description: Matthew Delamere is a British actor best known for his role in Peter Greenaway’s film "8½ Women."
-
A.
Myles Falworth
Myles Falworth is the young squire-turned-knight protagonist of Howard Pyle’s historical novel "Men of Iron," known for his chivalry, courage, and quest to restore his family’s honor in medieval England.
-
B.
Jordan Royall
Jordan Royall is an individual recognized as a notable bearer of the Royall surname.
-
C.
Matthew Cradock
Matthew Cradock was a 17th-century English merchant and politician who served as the first governor of the Massachusetts Bay Company and was an early patron of the Massachusetts Bay Colony.
-
D.
Harrison Knight
Harrison Knight is an actor known for playing the character Texas Ranger Bobby.
-
E.
Jeremy Londene
Jeremy Londene is a musician best known for his past role as a member of the emo/alternative rock band Dashboard Confessional.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc21838081909872eed21bc12a08 |
completed | April 21, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a093b4fd8748190b90a50feac5c7517 |
completed | May 17, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_6a093f361a288190bc373e95f7e9dd63 |
completed | May 17, 2026, 4:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a093fa8a998819080a96e67d34a5f52 |
completed | May 17, 2026, 4:10 a.m. |
Created at: April 16, 2026, 1:51 p.m.