Triple
T20698168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Golden |
E508708
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The 'Nam
The 'Nam is a Marvel Comics war series that offers a gritty, ground-level portrayal of American soldiers’ experiences during the Vietnam War.
|
E1446016
|
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: The 'Nam | Statement: [Michael Golden, notableWork, The 'Nam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The 'Nam Context triple: [Michael Golden, notableWork, The 'Nam]
-
A.
Namu
Namu is the main settlement and administrative center of Namu Atoll in the Marshall Islands.
-
B.
Nam-ku
Nam-ku is the McCune–Reischauer romanization of Nam District, an administrative district in the city of Busan, South Korea.
-
C.
Namanve
Namanve is an industrial and commercial area in central Uganda known for hosting the Kampala Industrial and Business Park and various manufacturing facilities.
-
D.
Nambi
Nambi was a prominent high-ranking official and military leader in the Majapahit Empire, serving as one of its early and influential mahapatihs (prime ministers).
-
E.
Ramingining
Ramingining is a remote Aboriginal community in Australia's Northern Territory, known for its rich Yolngu culture and art.
- 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: The 'Nam Triple: [Michael Golden, notableWork, The 'Nam]
Generated description
The 'Nam is a Marvel Comics war series that offers a gritty, ground-level portrayal of American soldiers’ experiences during the Vietnam War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The 'Nam Target entity description: The 'Nam is a Marvel Comics war series that offers a gritty, ground-level portrayal of American soldiers’ experiences during the Vietnam War.
-
A.
Namu
Namu is the main settlement and administrative center of Namu Atoll in the Marshall Islands.
-
B.
Nam-ku
Nam-ku is the McCune–Reischauer romanization of Nam District, an administrative district in the city of Busan, South Korea.
-
C.
Namanve
Namanve is an industrial and commercial area in central Uganda known for hosting the Kampala Industrial and Business Park and various manufacturing facilities.
-
D.
Nambi
Nambi was a prominent high-ranking official and military leader in the Majapahit Empire, serving as one of its early and influential mahapatihs (prime ministers).
-
E.
Ramingining
Ramingining is a remote Aboriginal community in Australia's Northern Territory, known for its rich Yolngu culture and art.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c1132178819081086e085f7b3ff8 |
completed | April 21, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7eb1d4081908ff9c44ee5f0e20b |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08db94ca14819092fd6d767fefc342 |
completed | May 16, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08dc141c648190bf98aa04adae4170 |
completed | May 16, 2026, 9:05 p.m. |
Created at: April 16, 2026, 12:11 p.m.