Triple
T16869771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenn Close |
E410137
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Close |
E294737
|
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: Close | Statement: [Glenn Close, familyName, Close]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Close Context triple: [Glenn Close, familyName, Close]
-
A.
Close
chosen
Close is the surname of acclaimed American actress Glenn Close, known for her versatile performances in film, television, and theater.
-
B.
Close
Close is a musical adaptation of Bernard Slade’s play “Same Time, Next Year,” featuring a score by Charles Strouse and lyrics by Alan Jay Lerner.
-
C.
Close
Close is a 2019 action-thriller film starring Noomi Rapace as a professional bodyguard protecting a young heiress from violent attackers.
-
D.
Closure
"Closure" is a song by Taylor Swift from her 2020 album *Evermore*, noted for its experimental production and introspective lyrics about emotional resolution.
-
E.
This Close
This Close is a groundbreaking dramedy television series created by and starring deaf writers/actors, exploring the lives and relationships of two deaf best friends in Los Angeles.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b50b85c08190b35d1c45ee0e9675 |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2aeb9908190964a9403402186fb |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:24 a.m.