Triple
T8002138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4th of July (Fireworks) |
E186274
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Flesh Tone |
E185686
|
NE 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: Flesh Tone | Statement: [4th of July (Fireworks), album, Flesh Tone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flesh Tone Context triple: [4th of July (Fireworks), album, Flesh Tone]
-
A.
Flesh Tone
chosen
Flesh Tone is a 2010 dance-pop and electronic album by American singer Kelis that marked a stylistic shift toward club-oriented, upbeat production.
-
B.
Fitzpatrick
Fitzpatrick is a common Irish surname of Gaelic origin, historically associated with the Mac Giolla Phádraig clan of Ossory.
-
C.
Real Tone
Real Tone is Google's camera technology designed to more accurately and beautifully render diverse skin tones in photos and videos.
-
D.
Velvet Brown
Velvet Brown is the determined young English girl who dreams of racing her beloved horse to victory in the classic novel and film "National Velvet."
-
E.
Tinte
Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf2918081909ee0afab11caed63 |
completed | March 31, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63bf5efc8190aa5cdc6707adbf71 |
completed | April 1, 2026, 12:15 a.m. |
Created at: March 30, 2026, 5:18 p.m.