Triple
T28958726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titanium (song) |
E731832
|
entity |
| Predicate | hasAlternateCredit |
P118720
|
FINISHED |
| Object | Titanium (performed by David Guetta feat. Sia) |
—
|
NE NERFINISHED |
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: Titanium (performed by David Guetta feat. Sia) | Statement: [Titanium (song), hasAlternateCredit, Titanium (performed by David Guetta feat. Sia)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternateCredit Context triple: [Titanium (song), hasAlternateCredit, Titanium (performed by David Guetta feat. Sia)]
-
A.
hasAlternativeCredit
chosen
Indicates that an entity is associated with a different or substitute form of credit or credit option than the primary one.
-
B.
hasCredit
Indicates that an entity possesses or is assigned a credit, such as financial credit, academic credit, or acknowledgment for a contribution.
-
C.
hasCreditCardVariant
Indicates that one credit card is a specific version, type, or variation of another credit card.
-
D.
hasTypeOfCredit
Indicates that an entity is associated with or characterized by a specific type or category of credit.
-
E.
hasSignatureCredit
Indicates that an entity possesses or is associated with a recognized signature-based credit or endorsement.
- 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_69f043ee242c8190b063248b417c5a69 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 28, 2026, 8:49 a.m.