Triple
T19732002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Mackenzie Phillips |
E473876
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Shane Barakan
Shane Barakan is the son of American actress and singer Mackenzie Phillips.
|
E1393268
|
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: Shane Barakan | Statement: [Laura Mackenzie Phillips, hasChild, Shane Barakan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shane Barakan Context triple: [Laura Mackenzie Phillips, hasChild, Shane Barakan]
-
A.
Shane Drake
Shane Drake is an American music video director known for his work with major pop and rock artists across the 2000s and 2010s.
-
B.
Shane Harper
Shane Harper is an American actor and singer known for roles in film and television, including the miniseries "A Teacher."
-
C.
Shane
Shane is one of the central protagonists in the dystopian horror-thriller film "The Purge: Anarchy," caught on the streets during the annual night of legalized crime.
-
D.
Shane
Shane is a masculine given name of Irish origin that has become common in English-speaking countries.
-
E.
Shane
Shane is a classic 1953 American Western film, directed by George Stevens, that follows a mysterious gunslinger who becomes entangled in a frontier family's struggle against a ruthless cattle baron.
- 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: Shane Barakan Triple: [Laura Mackenzie Phillips, hasChild, Shane Barakan]
Generated description
Shane Barakan is the son of American actress and singer Mackenzie Phillips.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shane Barakan Target entity description: Shane Barakan is the son of American actress and singer Mackenzie Phillips.
-
A.
Shane Drake
Shane Drake is an American music video director known for his work with major pop and rock artists across the 2000s and 2010s.
-
B.
Shane Harper
Shane Harper is an American actor and singer known for roles in film and television, including the miniseries "A Teacher."
-
C.
Shane
Shane is a masculine given name of Irish origin that has become common in English-speaking countries.
-
D.
Shane
Shane is a classic 1953 American Western film, directed by George Stevens, that follows a mysterious gunslinger who becomes entangled in a frontier family's struggle against a ruthless cattle baron.
-
E.
Shane
Shane is one of the central protagonists in the dystopian horror-thriller film "The Purge: Anarchy," caught on the streets during the annual night of legalized crime.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649fd18148190a6e85b2be0069dde |
completed | April 20, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4f4e1e081908fca0b6513bb3bbb |
completed | May 16, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_6a07b73cc5a48190af0ab9da30c859b4 |
completed | May 16, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b81193d081908dfb19272b4df41b |
completed | May 16, 2026, 12:19 a.m. |
Created at: April 10, 2026, 1:47 p.m.