Triple
T10091649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Engle |
E215356
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
American Song
American Song is a notable literary work by American poet and editor Paul Engle, reflecting his engagement with American themes and identity.
|
E839784
|
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: American Song | Statement: [Paul Engle, notableWork, American Song]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: American Song Context triple: [Paul Engle, notableWork, American Song]
-
A.
Our Song
"Our Song" is a breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
-
B.
Our Song
"Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
-
C.
State of Song
The State of Song was an ancient Chinese state during the Zhou dynasty period, historically notable as the homeland of the philosopher Zhuangzi.
-
D.
A Song
"A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
-
E.
American Soul
"American Soul" is a politically charged rock song by U2 from their album *Songs of Experience*, reflecting themes of American identity and social unrest.
- 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: American Song Triple: [Paul Engle, notableWork, American Song]
Generated description
American Song is a notable literary work by American poet and editor Paul Engle, reflecting his engagement with American themes and identity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: American Song Target entity description: American Song is a notable literary work by American poet and editor Paul Engle, reflecting his engagement with American themes and identity.
-
A.
Our Song
"Our Song" is a breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
-
B.
Our Song
"Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
-
C.
State of Song
The State of Song was an ancient Chinese state during the Zhou dynasty period, historically notable as the homeland of the philosopher Zhuangzi.
-
D.
A Song
"A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
-
E.
American Soul
"American Soul" is a politically charged rock song by U2 from their album *Songs of Experience*, reflecting themes of American identity and social unrest.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05aa02081908fba02e7085c6d7c |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6a587e0819093f38d5e69db43ec |
completed | April 5, 2026, 7:23 p.m. |
| NEDg | Description generation | batch_69d2b790cc188190b5c16c89beaa8aca |
completed | April 5, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b81e7b948190baa417186aac284b |
completed | April 5, 2026, 7:29 p.m. |
Created at: March 30, 2026, 9:01 p.m.