Triple
T20196507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 39/Smooth |
E493098
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | I Was There |
—
|
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: I Was There | Statement: [39/Smooth, hasPart, I Was There]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Was There Context triple: [39/Smooth, hasPart, I Was There]
-
A.
I Was There
chosen
"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 Were There
"If You Were There" is a song by the English pop duo Wham!, originally released on their 1984 album "Make It Big."
-
E.
I Was Here
"I Was Here" is a song best known for Beyoncé’s powerful ballad reflecting on legacy and making a meaningful impact on the world.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad99d50819090ddb7b546c65321 |
completed | April 20, 2026, 6:05 p.m. |
Created at: April 11, 2026, 11:37 p.m.