Triple
T11597391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shia LaBeouf |
E275038
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Isabel LaBeouf
Isabel LaBeouf is the daughter of American actor and filmmaker Shia LaBeouf.
|
E939937
|
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: Isabel LaBeouf | Statement: [Shia LaBeouf, hasChild, Isabel LaBeouf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isabel LaBeouf Context triple: [Shia LaBeouf, hasChild, Isabel LaBeouf]
-
A.
Emily Rose
Emily Rose is the fictional young woman at the center of the supernatural horror film "The Exorcism of Emily Rose," whose mysterious demonic possession and death lead to a dramatic courtroom trial.
-
B.
Marissa Ribisi
Marissa Ribisi is an American actress known for her roles in films like "Dazed and Confused" and "Pleasantville."
-
C.
Emma Roberts
Emma Roberts is an American actress and singer known for her roles in films like "Nancy Drew" and TV series such as "American Horror Story" and "Scream Queens."
-
D.
Madelaine Petsch
Madelaine Petsch is an American actress best known for playing Cheryl Blossom on the television series "Riverdale."
-
E.
Makena Lautner
Makena Lautner is the younger sister of American actor Taylor Lautner, known for maintaining a relatively private life outside of her brother’s fame.
- 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: Isabel LaBeouf Triple: [Shia LaBeouf, hasChild, Isabel LaBeouf]
Generated description
Isabel LaBeouf is the daughter of American actor and filmmaker Shia LaBeouf.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Isabel LaBeouf Target entity description: Isabel LaBeouf is the daughter of American actor and filmmaker Shia LaBeouf.
-
A.
Emily Rose
Emily Rose is the fictional young woman at the center of the supernatural horror film "The Exorcism of Emily Rose," whose mysterious demonic possession and death lead to a dramatic courtroom trial.
-
B.
Marissa Ribisi
Marissa Ribisi is an American actress known for her roles in films like "Dazed and Confused" and "Pleasantville."
-
C.
Emma Roberts
Emma Roberts is an American actress and singer known for her roles in films like "Nancy Drew" and TV series such as "American Horror Story" and "Scream Queens."
-
D.
Madelaine Petsch
Madelaine Petsch is an American actress best known for playing Cheryl Blossom on the television series "Riverdale."
-
E.
Makena Lautner
Makena Lautner is the younger sister of American actor Taylor Lautner, known for maintaining a relatively private life outside of her brother’s fame.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89549c870819086e16e9110bbad87 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef131cb534819099f9371c45c717c4 |
completed | April 27, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69ef354b3b3c8190b1c91dbf9c705a7d |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef5170ce9881908f2ecf3d5ada809a |
completed | April 27, 2026, 12:07 p.m. |
Created at: April 8, 2026, 9:38 p.m.