Triple
T18417032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio Dixon |
E441918
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | I Was Here |
—
|
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 Here | Statement: [Antonio Dixon, notableWork, I Was Here]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Was Here Context triple: [Antonio Dixon, notableWork, I Was Here]
-
A.
I Was Here
chosen
"I Was Here" is a song best known for Beyoncé’s powerful ballad reflecting on legacy and making a meaningful impact on the world.
-
B.
We Were Here
We Were Here is a music release best known as a key title in the catalog of the independent label Custard Records.
-
C.
If You Were Here
"If You Were Here" is a suspenseful crime novel by Alafair Burke that follows a journalist investigating the mysterious reappearance of a long-missing friend, uncovering secrets and corruption along the way.
-
D.
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.
-
E.
I Was There
"I Was There" is a song by the American punk rock band Green Day, featured on their debut studio album 39/Smooth.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a284b608190b77c360a72aceb7a |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.