Triple
T17715012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stacked |
E442172
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Elon Gold |
—
|
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: Elon Gold | Statement: [Stacked, starring, Elon Gold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elon Gold Context triple: [Stacked, starring, Elon Gold]
-
A.
Elon Gold
chosen
Elon Gold is an American stand-up comedian and actor known for his sharp impressions and appearances on television and in comedy specials.
-
B.
Eli Gold
Eli Gold is a sharp-tongued, politically savvy crisis manager and strategist on the television series "The Good Wife."
-
C.
Jeremy Gold
Jeremy Gold is a television producer and executive known for his work on the AMC Western drama series "Hell on Wheels."
-
D.
Santigold
Santigold is an American singer, songwriter, and producer known for her genre-blending style that fuses new wave, punk, reggae, and electronic music.
-
E.
Key Glock
Key Glock is an American rapper from Memphis, Tennessee, known for his gritty Southern trap style and frequent collaborations with his cousin and mentor Young Dolph.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4747f217081909010f396caaf03be |
completed | April 19, 2026, 6:21 a.m. |
Created at: April 10, 2026, 10:06 a.m.