Triple
T14688030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hadestown |
E344963
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Wait for Me
"Wait for Me" is a standout musical number from the stage musical Hadestown, known for its haunting melody and emotionally charged depiction of Orpheus’s journey to the underworld.
|
E1114008
|
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: Wait for Me | Statement: [Hadestown, notableSong, Wait for Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wait for Me Context triple: [Hadestown, notableSong, Wait for Me]
-
A.
Wait for Me
"Wait for Me" is an album by American musician Moby that blends downtempo electronic music with introspective, melancholic themes.
-
B.
Wait for Me
"Wait for Me" is a country song by American singer Kelly Clarkson, released as a single from her album "Mechanical Bull."
-
C.
Wait For Me
"Wait For Me" is a track from Big Sean's debut studio album "Finally Famous," showcasing his introspective lyricism over melodic production.
-
D.
I Will Wait
"I Will Wait" is the English title of the classic French song "J’attendrai," a popular wartime ballad known for its themes of longing and devotion.
-
E.
I Will Wait
"I Will Wait" is a folk rock song by British band Mumford & Sons that became one of their most popular and commercially successful singles.
- 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: Wait for Me Triple: [Hadestown, notableSong, Wait for Me]
Generated description
"Wait for Me" is a standout musical number from the stage musical Hadestown, known for its haunting melody and emotionally charged depiction of Orpheus’s journey to the underworld.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wait for Me Target entity description: "Wait for Me" is a standout musical number from the stage musical Hadestown, known for its haunting melody and emotionally charged depiction of Orpheus’s journey to the underworld.
-
A.
Wait for Me
"Wait for Me" is an album by American musician Moby that blends downtempo electronic music with introspective, melancholic themes.
-
B.
Wait for Me
"Wait for Me" is a country song by American singer Kelly Clarkson, released as a single from her album "Mechanical Bull."
-
C.
Wait For Me
"Wait For Me" is a track from Big Sean's debut studio album "Finally Famous," showcasing his introspective lyricism over melodic production.
-
D.
I Will Wait
"I Will Wait" is the English title of the classic French song "J’attendrai," a popular wartime ballad known for its themes of longing and devotion.
-
E.
I Will Wait
"I Will Wait" is a folk rock song by British band Mumford & Sons that became one of their most popular and commercially successful singles.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb58306548190b981956a83a84b95 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde1876fdc81908a4fe3deebb7ff83 |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde6c7a8ac8190a80b6c6ed0b5b157 |
completed | May 8, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde73ca1dc8190b7fc13d7ffb6daf4 |
completed | May 8, 2026, 1:38 p.m. |
Created at: April 10, 2026, 1:28 a.m.