Triple
T18176563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynn Wood Sessions |
E435175
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sessions |
—
|
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: Sessions | Statement: [Lynn Wood Sessions, familyName, Sessions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sessions Context triple: [Lynn Wood Sessions, familyName, Sessions]
-
A.
Sessions
chosen
Sessions is a surname most prominently associated with American politician Pete Sessions, a long-serving Republican member of the U.S. House of Representatives from Texas.
-
B.
The Session
The Session is a hip-hop track notable for assembling an unusually large number of rappers on a single, extended posse cut.
-
C.
In Session
In Session is a blues album capturing a historic 1983 studio collaboration between guitarist Stevie Ray Vaughan and organist Albert King, later released in 1999.
-
D.
Session API
Session API is a core Jakarta Mail component that provides configuration and management of mail sessions for sending and receiving email in Java applications.
-
E.
Session 9
Session 9 is a 2001 psychological horror film set in an abandoned mental asylum, renowned for its slow-building tension, atmospheric dread, and exploration of paranoia and trauma.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df5a72008190bd2e56205b995a87 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 10:30 a.m.