Triple
T11019957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliza Doolittle |
E260461
|
entity |
| Predicate | musicalNumber |
P43970
|
FINISHED |
| Object |
Just You Wait
"Just You Wait" is a comic solo song from the musical *My Fair Lady* in which Eliza Doolittle fantasizes about getting revenge on Professor Henry Higgins.
|
E899677
|
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: Just You Wait | Statement: [Eliza Doolittle, musicalNumber, Just You Wait]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Just You Wait Context triple: [Eliza Doolittle, musicalNumber, Just You Wait]
-
A.
Just Wait
"Just Wait" is a song by the American rock band Surfer Blood, known for their melodic indie rock sound.
-
B.
Willing to Wait
"Willing to Wait" is a romantic R&B ballad by Rihanna from her debut studio album, *Music of the Sun*.
-
C.
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.
-
D.
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.
-
E.
Ain’t Waiting
"Ain’t Waiting" is a hip-hop track by Talib Kweli from his album "Gutter Rainbows," showcasing his introspective lyrics and soulful, melodic production.
- 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: Just You Wait Triple: [Eliza Doolittle, musicalNumber, Just You Wait]
Generated description
"Just You Wait" is a comic solo song from the musical *My Fair Lady* in which Eliza Doolittle fantasizes about getting revenge on Professor Henry Higgins.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Just You Wait Target entity description: "Just You Wait" is a comic solo song from the musical *My Fair Lady* in which Eliza Doolittle fantasizes about getting revenge on Professor Henry Higgins.
-
A.
Just Wait
"Just Wait" is a song by the American rock band Surfer Blood, known for their melodic indie rock sound.
-
B.
Willing to Wait
"Willing to Wait" is a romantic R&B ballad by Rihanna from her debut studio album, *Music of the Sun*.
-
C.
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.
-
D.
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.
-
E.
Ain’t Waiting
"Ain’t Waiting" is a hip-hop track by Talib Kweli from his album "Gutter Rainbows," showcasing his introspective lyrics and soulful, melodic production.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797baad408190a53fd6941a750f68 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374e550508190aa3779191196f329 |
completed | April 18, 2026, 12:11 p.m. |
| NEDg | Description generation | batch_69e378df767c819099d0bfdf35eaf5f3 |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37bf526108190b5fc22569fe6be54 |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 8, 2026, 9:25 p.m.