Triple
T22973152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson Jackson |
E571242
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object | Sara Lance |
—
|
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: Sara Lance | Statement: [Jefferson Jackson, worksWith, Sara Lance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Lance Context triple: [Jefferson Jackson, worksWith, Sara Lance]
-
A.
Sara Lance
chosen
Sara Lance is a central Arrowverse character, a resurrected assassin-turned-superhero who becomes the time-traveling leader of the Legends of Tomorrow.
-
B.
Kate Kane
Kate Kane is the DC Comics superheroine who becomes Batwoman, a vigilante crime-fighter in Gotham City and cousin to Bruce Wayne.
-
C.
Rose Wilson
Rose Wilson is a DC Comics antiheroine and skilled assassin who operates under the codename Ravager and is the daughter of the mercenary Deathstroke.
-
D.
Dinah Laurel Lance
Dinah Laurel Lance is a DC Comics superheroine best known as the modern Black Canary, a skilled martial artist and vigilante with a powerful sonic scream.
-
E.
Felicity Smoak
Felicity Smoak is a brilliant IT expert and hacker who becomes a key member of Team Arrow and a central character in the Arrowverse television franchise.
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182343a448190a5259cdf721c9d04 |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.