Triple
T14818146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dana Plato |
E348372
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Tyler Lambert
Tyler Lambert was the son of actress Dana Plato, known primarily for his tragic early death that echoed his mother's own struggles and untimely passing.
|
E1121506
|
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: Tyler Lambert | Statement: [Dana Plato, child, Tyler Lambert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyler Lambert Context triple: [Dana Plato, child, Tyler Lambert]
-
A.
Scott Lambert
Scott Lambert is a film producer known for his work on acclaimed projects including the psychological drama "Tár."
-
B.
Scott Lambert
Scott Lambert is a film and television producer known for his work on projects such as the movie "The Silence."
-
C.
Scott Lambert
Scott Lambert is a film producer known for his work on the drama film "North Country."
-
D.
John Lambert
John Lambert was a prominent Parliamentarian general and political figure during the English Civil Wars, noted for his military skill and later role in the republican government.
-
E.
John Lambert
John Lambert was a British Army general of the Napoleonic era, noted for leading British forces in the aftermath of the failed assault at the Battle of New Orleans.
- 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: Tyler Lambert Triple: [Dana Plato, child, Tyler Lambert]
Generated description
Tyler Lambert was the son of actress Dana Plato, known primarily for his tragic early death that echoed his mother's own struggles and untimely passing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tyler Lambert Target entity description: Tyler Lambert was the son of actress Dana Plato, known primarily for his tragic early death that echoed his mother's own struggles and untimely passing.
-
A.
Scott Lambert
Scott Lambert is a film producer known for his work on acclaimed projects including the psychological drama "Tár."
-
B.
Scott Lambert
Scott Lambert is a film and television producer known for his work on projects such as the movie "The Silence."
-
C.
Scott Lambert
Scott Lambert is a film producer known for his work on the drama film "North Country."
-
D.
John Lambert
John Lambert was a prominent Parliamentarian general and political figure during the English Civil Wars, noted for his military skill and later role in the republican government.
-
E.
John Lambert
John Lambert was a British Army general of the Napoleonic era, noted for leading British forces in the aftermath of the failed assault at the Battle of New Orleans.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe4cf38819090f25ef045351d5d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389940e081908ad627955cb8d52e |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe3a315d2c81908db44e7792908e39 |
completed | May 8, 2026, 7:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe3bda81cc8190b256ec6284383dde |
completed | May 8, 2026, 7:39 p.m. |
Created at: April 10, 2026, 1:50 a.m.