Triple
T14697264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pammy Buchanan |
E345195
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Pammy
Pammy is the young daughter of Tom and Daisy Buchanan in F. Scott Fitzgerald’s novel "The Great Gatsby," symbolizing the consequences of her parents’ careless, privileged lifestyle.
|
E1113681
|
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: Pammy | Statement: [Pammy Buchanan, givenName, Pammy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pammy Context triple: [Pammy Buchanan, givenName, Pammy]
-
A.
Yum-Yum
Yum-Yum is a central, comedic soprano role in Gilbert and Sullivan’s operetta "The Mikado," portrayed as a charming young schoolgirl who becomes the love interest of the hero, Nanki-Poo.
-
B.
Petey
Petey is a diminutive nickname commonly used for people named Peter.
-
C.
Pippy
Pippy is an educational programming activity for the Sugar learning platform that lets children explore and write simple Python programs.
-
D.
Pam Pam
"Pam Pam" is a popular reggaeton track by Puerto Rican duo Wisin & Yandel, known for its catchy rhythm and club-oriented sound.
-
E.
Polly
Polly is the given name of English singer-songwriter and musician PJ Harvey, renowned for her influential alternative rock work.
- 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: Pammy Triple: [Pammy Buchanan, givenName, Pammy]
Generated description
Pammy is the young daughter of Tom and Daisy Buchanan in F. Scott Fitzgerald’s novel "The Great Gatsby," symbolizing the consequences of her parents’ careless, privileged lifestyle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pammy Target entity description: Pammy is the young daughter of Tom and Daisy Buchanan in F. Scott Fitzgerald’s novel "The Great Gatsby," symbolizing the consequences of her parents’ careless, privileged lifestyle.
-
A.
Yum-Yum
Yum-Yum is a central, comedic soprano role in Gilbert and Sullivan’s operetta "The Mikado," portrayed as a charming young schoolgirl who becomes the love interest of the hero, Nanki-Poo.
-
B.
Petey
Petey is a diminutive nickname commonly used for people named Peter.
-
C.
Pippy
Pippy is an educational programming activity for the Sugar learning platform that lets children explore and write simple Python programs.
-
D.
Pam Pam
"Pam Pam" is a popular reggaeton track by Puerto Rican duo Wisin & Yandel, known for its catchy rhythm and club-oriented sound.
-
E.
Polly
Polly is an LLVM project component that performs advanced loop optimizations and automatic parallelization using polyhedral compilation techniques.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb58855e081908b38f9515db5677f |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde19040e0819099159ed2609c6965 |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde43698e881908226ae4907910249 |
completed | May 8, 2026, 1:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde53290a48190b3701472bb4e3d63 |
completed | May 8, 2026, 1:29 p.m. |
Created at: April 10, 2026, 1:28 a.m.