Triple
T1368981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden PEN Award |
E30067
|
entity |
| Predicate | presentedBy |
P83
|
FINISHED |
| Object |
PEN
PEN is an international writers’ organization dedicated to promoting literature and defending freedom of expression worldwide.
|
E157044
|
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: PEN | Statement: [Golden PEN Award, presentedBy, PEN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PEN Context triple: [Golden PEN Award, presentedBy, PEN]
-
A.
PEN
PEN is the Peruvian sol, the official national currency of Peru.
-
B.
Papel
Papel is an indigenous language of Guinea-Bissau spoken primarily by the Papel people in the coastal regions around Bissau.
-
C.
Penge
Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
-
D.
Mandika
Mandika is an alternative name for the Mandinka, a major West African ethnic group known for their rich cultural traditions and historical role in the Mali Empire.
-
E.
The Paper
The Paper is a 1994 American comedy-drama film directed by Ron Howard that follows the hectic, deadline-driven day at a New York City tabloid newspaper.
- 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: PEN Triple: [Golden PEN Award, presentedBy, PEN]
Generated description
PEN is an international writers’ organization dedicated to promoting literature and defending freedom of expression worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PEN Target entity description: PEN is an international writers’ organization dedicated to promoting literature and defending freedom of expression worldwide.
-
A.
PEN
PEN is the Peruvian sol, the official national currency of Peru.
-
B.
Papel
Papel is an indigenous language of Guinea-Bissau spoken primarily by the Papel people in the coastal regions around Bissau.
-
C.
Penge
Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
-
D.
Mandika
Mandika is an alternative name for the Mandinka, a major West African ethnic group known for their rich cultural traditions and historical role in the Mali Empire.
-
E.
The Paper
The Paper is a 1994 American comedy-drama film directed by Ron Howard that follows the hectic, deadline-driven day at a New York City tabloid newspaper.
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2d60fdc8190a9954b74ca2b2541 |
completed | March 1, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce7ae56c8190970bacb061a71798 |
completed | March 8, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69accf15d910819098e9a4b24247881b |
completed | March 8, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69accffba39c8190ae37cd0bfca3eb87 |
completed | March 8, 2026, 1:25 a.m. |
Created at: March 1, 2026, 7:57 p.m.