Triple
T9327618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How Could You Believe Me When I Said I Love You When You Know I’ve Been a Liar All My Life |
E224431
|
entity |
| Predicate | titleCharacterStringLength |
P32078
|
FINISHED |
| Object | very long song title |
—
|
LITERAL FINISHED |
How this triple was built (2 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: very long song title | Statement: [How Could You Believe Me When I Said I Love You When You Know I’ve Been a Liar All My Life, titleCharacterStringLength, very long song title]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleCharacterStringLength Context triple: [How Could You Believe Me When I Said I Love You When You Know I’ve Been a Liar All My Life, titleCharacterStringLength, very long song title]
-
A.
titleCharacterString
Indicates that one entity is the textual string representing the title associated with another entity.
-
B.
numberOfCharacters
chosen
Indicates the total count of individual characters present in a given text, string, or entity’s representation.
-
C.
graphicCharactersCount
Indicates the number of printable (non-control) characters present in a given text or string.
-
D.
nameLengthInKanji
Indicates the number of kanji characters used in an entity’s name.
-
E.
identifierLength
Indicates the length or number of characters in an entity’s identifier.
- F. None of above.
Provenance (3 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37aa78648190b786b50402b15569 |
completed | April 1, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cc7a643924819097f01144734901cf |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:39 p.m.