Triple
T8129954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 13 Going on 30 |
E189827
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Sam Ball
Sam Ball is an actor known for his supporting role in the romantic comedy film "13 Going on 30."
|
E715178
|
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: Sam Ball | Statement: [13 Going on 30, castMember, Sam Ball]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Ball Context triple: [13 Going on 30, castMember, Sam Ball]
-
A.
Paul Ballard
Paul Ballard is a determined FBI agent in the television series "Dollhouse" who becomes obsessed with uncovering the truth behind the mysterious Dollhouse organization.
-
B.
Fred Ball
Fred Ball is a film producer best known for his work on the cult classic crime-romance movie "True Romance."
-
C.
Martin Ball
Martin Ball is a British actor known for his work in theatre, television, and musical productions in the UK.
-
D.
Sam Baldwin
Sam Baldwin is the widowed architect and devoted father portrayed by Tom Hanks in the romantic comedy film "Sleepless in Seattle."
-
E.
Bille Brown
Bille Brown was an Australian actor and playwright known for his work in theatre, film, and television, including roles in international 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: Sam Ball Triple: [13 Going on 30, castMember, Sam Ball]
Generated description
Sam Ball is an actor known for his supporting role in the romantic comedy film "13 Going on 30."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sam Ball Target entity description: Sam Ball is an actor known for his supporting role in the romantic comedy film "13 Going on 30."
-
A.
Paul Ballard
Paul Ballard is a determined FBI agent in the television series "Dollhouse" who becomes obsessed with uncovering the truth behind the mysterious Dollhouse organization.
-
B.
Fred Ball
Fred Ball is a film producer best known for his work on the cult classic crime-romance movie "True Romance."
-
C.
Martin Ball
Martin Ball is a British actor known for his work in theatre, television, and musical productions in the UK.
-
D.
Sam Baldwin
Sam Baldwin is the widowed architect and devoted father portrayed by Tom Hanks in the romantic comedy film "Sleepless in Seattle."
-
E.
Bille Brown
Bille Brown was an Australian actor and playwright known for his work in theatre, film, and television, including roles in international 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43b6b4dc8190be237e6dd21c863b |
completed | March 31, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbebd0d0481908eb6989d1822421a |
completed | April 1, 2026, 6:44 a.m. |
| NEDg | Description generation | batch_69ccc24c5684819093a4f58616122675 |
completed | April 1, 2026, 6:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccc38e85bc8190b0f4b2435a385f47 |
completed | April 1, 2026, 7:04 a.m. |
Created at: March 30, 2026, 5:34 p.m.