Triple
T12361111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenn Close |
E294737
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Damages |
E294739
|
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: Damages | Statement: [Glenn Close, notableWork, Damages]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damages Context triple: [Glenn Close, notableWork, Damages]
-
A.
Damages
chosen
Damages is a critically acclaimed legal thriller television series known for its complex storytelling, morally ambiguous characters, and Glenn Close’s powerful performance as ruthless attorney Patty Hewes.
-
B.
Damages
"Damages" is a breakout R&B single by Nigerian singer Tems that helped establish her as a prominent voice in contemporary Afrobeats and alté music.
-
C.
Losses
"Losses" is a World War II–themed poetry collection by American poet and critic Randall Jarrell, noted for its stark, psychologically acute portrayal of soldiers’ experiences in aerial warfare.
-
D.
Damage Gets Done
"Damage Gets Done" is a duet track by Hozier and Brandi Carlile from Hozier’s 2023 album *Unreal Unearth*, blending soulful vocals with reflective, emotionally charged lyrics.
-
E.
Damage Control
Damage Control is a Marvel Comics series about a specialized company that cleans up and repairs the destruction caused by superhero battles.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f91a1908190a8a4fa9da3b47933 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab9ea4c81908313b11716ad7c43 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:54 p.m.