Triple
T10279994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meredith Palmer |
E241071
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Jake Palmer
Jake Palmer is the son of Meredith Palmer, a character from the American television series "The Office."
|
E852108
|
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: Jake Palmer | Statement: [Meredith Palmer, hasChild, Jake Palmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Palmer Context triple: [Meredith Palmer, hasChild, Jake Palmer]
-
A.
Paul Palmer
Paul Palmer is a former American football running back best known for his standout collegiate career at Temple University and subsequent play in the NFL.
-
B.
Jacob Palmer
Jacob Palmer is a suave, womanizing ladies' man who becomes a mentor and friend to the film's recently divorced protagonist in the romantic comedy "Crazy, Stupid, Love."
-
C.
Sam Taggart
Sam Taggart is a nurse character on the medical drama series "ER," known for her tough, outspoken personality and complex personal life.
-
D.
David Palmer
David Palmer is a fictional U.S. Senator who becomes President and serves as a key political leader in the television series "24."
-
E.
Sam Harper
Sam Harper is a screenwriter best known for writing family-friendly comedy films such as "Cheaper by the Dozen" and "Freaky Friday."
- 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: Jake Palmer Triple: [Meredith Palmer, hasChild, Jake Palmer]
Generated description
Jake Palmer is the son of Meredith Palmer, a character from the American television series "The Office."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jake Palmer Target entity description: Jake Palmer is the son of Meredith Palmer, a character from the American television series "The Office."
-
A.
Paul Palmer
Paul Palmer is a former American football running back best known for his standout collegiate career at Temple University and subsequent play in the NFL.
-
B.
Jacob Palmer
Jacob Palmer is a suave, womanizing ladies' man who becomes a mentor and friend to the film's recently divorced protagonist in the romantic comedy "Crazy, Stupid, Love."
-
C.
Sam Taggart
Sam Taggart is a nurse character on the medical drama series "ER," known for her tough, outspoken personality and complex personal life.
-
D.
David Palmer
David Palmer is a fictional U.S. Senator who becomes President and serves as a key political leader in the television series "24."
-
E.
Sam Harper
Sam Harper is a screenwriter best known for writing family-friendly comedy films such as "Cheaper by the Dozen" and "Freaky Friday."
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2a0c90c8190ad6ee479a32e5a95 |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f82f16688190b1c6b80e424bd552 |
completed | April 9, 2026, 12:51 a.m. |
| NEDg | Description generation | batch_69d6fcad625881909304201c1ebb3bcb |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd84cd708190816d94417294b52a |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:38 a.m.