Triple
T14622155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alicia Florrick |
E343248
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Eli Gold |
E781260
|
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: Eli Gold | Statement: [Alicia Florrick, associatedWith, Eli Gold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eli Gold Context triple: [Alicia Florrick, associatedWith, Eli Gold]
-
A.
Eli Gold
chosen
Eli Gold is a sharp-tongued, politically savvy crisis manager and strategist on the television series "The Good Wife."
-
B.
Eli Goldsworthy
Eli Goldsworthy is a brooding, artistic, and emotionally complex student character from the Canadian teen drama series "Degrassi: The Next Generation."
-
C.
Eli Meyer
Eli Meyer is one of the children of Stephenie Meyer, the bestselling author of the "Twilight" series.
-
D.
Martin Goldstein
Martin Goldstein, nicknamed "Buggsy," was an American mobster and hitman associated with Murder, Inc. during the 1930s and 1940s.
-
E.
Eli
Eli is a given name most famously associated with American inventor Eli Whitney, known for creating the cotton gin.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb466a61c81908a110d40fb959b6f |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda9288e748190bf65a01803265a73 |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.