Triple
T13384340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Girls |
E319400
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
David Hornsby
David Hornsby is an American actor, writer, and producer best known for his role as Rickety Cricket on the TV series "It's Always Sunny in Philadelphia."
|
E1036395
|
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: David Hornsby | Statement: [Good Girls, castMember, David Hornsby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Hornsby Context triple: [Good Girls, castMember, David Hornsby]
-
A.
Maty Siman
Maty Siman is a technology entrepreneur best known as the founder of the application security company Checkmarx.
-
B.
Josh Dylan
Josh Dylan is a British actor best known for his role as young Bill in the film "Mamma Mia! Here We Go Again."
-
C.
Luke Bosso
Luke Bosso is an American sports administrator who has served as the athletic director for the IUPUI Jaguars athletic program.
-
D.
Carter Thicke
Carter Thicke is the son of the late Canadian actor and TV host Alan Thicke.
-
E.
Leon Shamroy
Leon Shamroy was an acclaimed American cinematographer, renowned for his work on numerous Hollywood classics and for winning multiple Academy Awards during the mid-20th century.
- 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: David Hornsby Triple: [Good Girls, castMember, David Hornsby]
Generated description
David Hornsby is an American actor, writer, and producer best known for his role as Rickety Cricket on the TV series "It's Always Sunny in Philadelphia."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Hornsby Target entity description: David Hornsby is an American actor, writer, and producer best known for his role as Rickety Cricket on the TV series "It's Always Sunny in Philadelphia."
-
A.
Maty Siman
Maty Siman is a technology entrepreneur best known as the founder of the application security company Checkmarx.
-
B.
Josh Dylan
Josh Dylan is a British actor best known for his role as young Bill in the film "Mamma Mia! Here We Go Again."
-
C.
Luke Bosso
Luke Bosso is an American sports administrator who has served as the athletic director for the IUPUI Jaguars athletic program.
-
D.
Carter Thicke
Carter Thicke is the son of the late Canadian actor and TV host Alan Thicke.
-
E.
Leon Shamroy
Leon Shamroy was an acclaimed American cinematographer, renowned for his work on numerous Hollywood classics and for winning multiple Academy Awards during the mid-20th century.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce80158819082156eaeaeda3bd8 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7268cf04c8190a35fd48ce81c149e |
completed | May 3, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_69f7276776ec81908769cd9f1cc4707e |
completed | May 3, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7280cbb6c819090bee7862e00b900 |
completed | May 3, 2026, 10:48 a.m. |
Created at: April 9, 2026, 9:33 p.m.