Triple
T15059907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revolution |
E379596
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Tracy Spiridakos |
E653940
|
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: Tracy Spiridakos | Statement: [Revolution, portrayedBy, Tracy Spiridakos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracy Spiridakos Context triple: [Revolution, portrayedBy, Tracy Spiridakos]
-
A.
Tracy Spiridakos
chosen
Tracy Spiridakos is a Canadian actress best known for her role as Detective Hailey Upton on the television series "Chicago P.D."
-
B.
Alycia Vrettou
Alycia Vrettou is the central protagonist of the work "Salvation," around whom the main narrative and character development revolve.
-
C.
Karen Zariakas
Karen Zariakas is the central female protagonist in the 2019 neo-noir thriller film "Serenity," whose mysterious reappearance drives the plot’s psychological and moral conflicts.
-
D.
Tracy Negoshian
Tracy Negoshian is an American fashion designer known for her colorful, patterned women’s clothing line sold in boutiques and online.
-
E.
Lisa Katselas
Lisa Katselas is a film producer best known for her work on notable independent and art-house films in the 1990s.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee50afc8190bf7b0f4bbe8c60a3 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c2fcec8190800d1bda82c7352e |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 3:01 a.m.