Triple
T28024732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honey Bun |
E707785
|
entity |
| Predicate | hasReleaseChronologyPreviousTitle |
P199121
|
FINISHED |
| Object |
Without You
"Without You" is a song whose title precedes "Honey Bun" in the release chronology, likely part of the same artist’s or project’s musical catalog.
|
E1805773
|
NE FINISHED |
How this triple was built (3 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: Without You | Statement: [Honey Bun, hasReleaseChronologyPreviousTitle, Without You]
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: Without You Triple: [Honey Bun, hasReleaseChronologyPreviousTitle, Without You]
Generated description
"Without You" is a song whose title precedes "Honey Bun" in the release chronology, likely part of the same artist’s or project’s musical catalog.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReleaseChronologyPreviousTitle Context triple: [Honey Bun, hasReleaseChronologyPreviousTitle, Without You]
-
A.
hasFormerTitle
Indicates that an entity previously held a specific title or position but no longer does.
-
B.
hasLaterTitle
Indicates that one title occurs chronologically after another title in a sequence or timeline.
-
C.
precedesSingleReleaseYear
Indicates that one entity occurs or is released in a year that comes before the single release year of another entity.
-
D.
hasTitleOnRelease
Indicates that an entity had a specific title at the time of its original release.
-
E.
precededByReleaseYear
Indicates that one entity’s release year occurs earlier in time than the release year of another entity.
- F. None of above. chosen
Provenance (7 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69ff21cbd9108190a52c0ba42004c669 |
completed | May 9, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_6a15d78b2f248190bb2e7e9d3c3c2fbb |
completed | May 26, 2026, 5:25 p.m. |
| NEDg | Description generation | batch_6a15d843d2408190916068c6aa442552 |
completed | May 26, 2026, 5:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a15d8fcf91c8190b1e6026a44cf66a2 |
completed | May 26, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69ff1faea91881908c626c70bca5100a |
completed | May 9, 2026, 11:51 a.m. |
| PDg | Predicate description generation | batch_69ff21ca6964819088bdf1810b7863f2 |
completed | May 9, 2026, noon |
Created at: April 27, 2026, 8:12 p.m.