Triple
T15296843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gil Pender |
E365682
|
entity |
| Predicate | loveInterest |
P7325
|
FINISHED |
| Object |
Inez
Inez is a central character in the film "Midnight in Paris," known as Gil Pender's materialistic and skeptical fiancée.
|
E1148085
|
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: Inez | Statement: [Gil Pender, loveInterest, Inez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inez Context triple: [Gil Pender, loveInterest, Inez]
-
A.
Inez Courtney
Inez Courtney was an American stage and film actress active in the 1930s and 1940s, known for her supporting roles in Hollywood comedies and musicals.
-
B.
Ines
Ines is a feminine given name, commonly used in various European and Latin American countries, that is a variant of the name Agnes.
-
C.
Kara Knack
Kara Knack is best known as the former wife of American actor Pernell Roberts, who starred as Adam Cartwright on the classic TV series "Bonanza."
-
D.
Inez Gardner
Inez Gardner was a sister of famed American actress Ava Gardner and a member of the Gardner family from North Carolina.
-
E.
Luella Gear
Luella Gear was an American actress and comedian known for her work in early 20th-century stage and film productions.
- 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: Inez Triple: [Gil Pender, loveInterest, Inez]
Generated description
Inez is a central character in the film "Midnight in Paris," known as Gil Pender's materialistic and skeptical fiancée.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inez Target entity description: Inez is a central character in the film "Midnight in Paris," known as Gil Pender's materialistic and skeptical fiancée.
-
A.
Inez Courtney
Inez Courtney was an American stage and film actress active in the 1930s and 1940s, known for her supporting roles in Hollywood comedies and musicals.
-
B.
Ines
Ines is a feminine given name, commonly used in various European and Latin American countries, that is a variant of the name Agnes.
-
C.
Kara Knack
Kara Knack is best known as the former wife of American actor Pernell Roberts, who starred as Adam Cartwright on the classic TV series "Bonanza."
-
D.
Inez Gardner
Inez Gardner was a sister of famed American actress Ava Gardner and a member of the Gardner family from North Carolina.
-
E.
Luella Gear
Luella Gear was an American actress and comedian known for her work in early 20th-century stage and film productions.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e036848c1881908fbaaae0216d6d27 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef82f6d08190b809260dda247dfe |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef08efec88190a66159ba39409ec9 |
completed | May 9, 2026, 8:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef1715c3081909bddb24688c810a7 |
completed | May 9, 2026, 8:33 a.m. |
Created at: April 10, 2026, 3:15 a.m.