Triple
T10687344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenda Farrell |
E251911
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Tommy Farrell
Tommy Farrell was the son of American film and stage actress Glenda Farrell.
|
E879095
|
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: Tommy Farrell | Statement: [Glenda Farrell, child, Tommy Farrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommy Farrell Context triple: [Glenda Farrell, child, Tommy Farrell]
-
A.
Tommy Farrell
Tommy Farrell is a relative of Irish actor Colin Farrell, known primarily in connection with the acclaimed film star's family.
-
B.
Tommy Fagan
Tommy Fagan is an individual notable enough to be recognized as a prominent bearer of the surname Fagan.
-
C.
Tommy Griffin
Tommy Griffin is an American former basketball player and coach best known as the father of NBA star Blake Griffin.
-
D.
Tom Farrell
Tom Farrell is the central character of the British sitcom "Gimme Gimme Gimme," around whose chaotic and comedic life the series revolves.
-
E.
Tommy Leach
Tommy Leach was an early 20th-century Major League Baseball third baseman and outfielder best known for his speed, defensive skill, and starring role with the Pittsburgh Pirates, including in the first modern World Series in 1903.
- 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: Tommy Farrell Triple: [Glenda Farrell, child, Tommy Farrell]
Generated description
Tommy Farrell was the son of American film and stage actress Glenda Farrell.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tommy Farrell Target entity description: Tommy Farrell was the son of American film and stage actress Glenda Farrell.
-
A.
Tommy Farrell
Tommy Farrell is a relative of Irish actor Colin Farrell, known primarily in connection with the acclaimed film star's family.
-
B.
Tommy Fagan
Tommy Fagan is an individual notable enough to be recognized as a prominent bearer of the surname Fagan.
-
C.
Tommy Griffin
Tommy Griffin is an American former basketball player and coach best known as the father of NBA star Blake Griffin.
-
D.
Tom Farrell
Tom Farrell is the central character of the British sitcom "Gimme Gimme Gimme," around whose chaotic and comedic life the series revolves.
-
E.
Tommy Leach
Tommy Leach was an early 20th-century Major League Baseball third baseman and outfielder best known for his speed, defensive skill, and starring role with the Pittsburgh Pirates, including in the first modern World Series in 1903.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd19f0f481909eeaa75d17d9c060 |
completed | April 9, 2026, 1:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9889d1f988190938be54771161b00 |
completed | April 10, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d98aeb82988190a17b009c74279423 |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98c2aae048190b348e5614ff23f03 |
completed | April 10, 2026, 11:47 p.m. |
Created at: April 8, 2026, 9:10 p.m.