Triple
T16641242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It's Not Me, It's You |
E404341
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
He Wasn't There
"He Wasn't There" is a song by English singer-songwriter Lily Allen from her album "It's Not Me, It's You."
|
E1225428
|
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: He Wasn't There | Statement: [It's Not Me, It's You, hasPart, He Wasn't There]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: He Wasn't There Context triple: [It's Not Me, It's You, hasPart, He Wasn't There]
-
A.
I Was There
"I Was There" is a song by the American punk rock band Green Day, featured on their debut studio album 39/Smooth.
-
B.
I Was There
"I Was There" is the memoir of Fleet Admiral William D. Leahy, offering an insider’s account of high-level Allied strategy and decision-making during World War II.
-
C.
We Were There
"We Were There" is a track featured on Marcus Miller’s jazz-fusion album "Afrodeezia."
-
D.
If You Hadn't Been There
"If You Hadn't Been There" is a song featured on the album *Some Lessons Learned* by Kristin Chenoweth.
-
E.
I Was Never There
"I Was Never There" is a dark, atmospheric R&B track by The Weeknd from his EP *My Dear Melancholy,* known for its haunting production and themes of heartbreak and emotional detachment.
- 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: He Wasn't There Triple: [It's Not Me, It's You, hasPart, He Wasn't There]
Generated description
"He Wasn't There" is a song by English singer-songwriter Lily Allen from her album "It's Not Me, It's You."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: He Wasn't There Target entity description: "He Wasn't There" is a song by English singer-songwriter Lily Allen from her album "It's Not Me, It's You."
-
A.
I Was There
"I Was There" is a song by the American punk rock band Green Day, featured on their debut studio album 39/Smooth.
-
B.
I Was There
"I Was There" is the memoir of Fleet Admiral William D. Leahy, offering an insider’s account of high-level Allied strategy and decision-making during World War II.
-
C.
We Were There
"We Were There" is a track featured on Marcus Miller’s jazz-fusion album "Afrodeezia."
-
D.
If You Hadn't Been There
"If You Hadn't Been There" is a song featured on the album *Some Lessons Learned* by Kristin Chenoweth.
-
E.
I Was Never There
"I Was Never There" is a dark, atmospheric R&B track by The Weeknd from his EP *My Dear Melancholy,* known for its haunting production and themes of heartbreak and emotional detachment.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad1a7748190aa9308d4e96c566c |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084bb4cec819091d9b7b2a09248ee |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a00853af11881908e0e61fb352e2e87 |
completed | May 10, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0085f2fd2881908b31bd57790acb74 |
completed | May 10, 2026, 1:19 p.m. |
Created at: April 10, 2026, 5:18 a.m.