Triple
T8498670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabel Lahiri |
E201159
|
entity |
| Predicate | appearsAlongside |
P25756
|
FINISHED |
| Object | Tess Ocean |
E204155
|
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: Tess Ocean | Statement: [Isabel Lahiri, appearsAlongside, Tess Ocean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tess Ocean Context triple: [Isabel Lahiri, appearsAlongside, Tess Ocean]
-
A.
Tess Ocean
chosen
Tess Ocean is a central character in the Ocean's film series, known as Danny Ocean's sophisticated and sharp-witted ex-wife who becomes entangled in his elaborate heists.
-
B.
Okeanos
Okeanos is the primordial Greek god personifying the great encircling river believed to surround the world.
-
C.
Océan
Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
-
D.
Océan
Océan is a coastal department in Cameroon's South Region, known for its Atlantic shoreline and port towns.
-
E.
Sandee
Sandee is a given name, typically a variant spelling of "Sandy," used for both males and females.
- 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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe583aebc819090345684bfa1fca2 |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e0aa7788190abd7bb259966bc44 |
completed | April 2, 2026, 11:07 a.m. |
Created at: March 30, 2026, 6:14 p.m.