Triple
T12005196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Some Girls |
E285762
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Shattered |
E574653
|
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: Shattered | Statement: [Some Girls, hasPart, Shattered]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shattered Context triple: [Some Girls, hasPart, Shattered]
-
A.
Shattered
Shattered is a crime thriller novel in James Patterson and Michael Ledwidge’s Michael Bennett series, following the New York detective as he investigates a high-stakes, politically charged murder.
-
B.
Shattered
chosen
Shattered is a film featuring Canadian actress Molly Parker in a prominent role.
-
C.
Shattered
"Shattered" is a song from Linda Ronstadt’s 1989 pop-rock album *Cry Like a Rainstorm, Howl Like the Wind*, known for its polished production and emotive vocal performance.
-
D.
Fractured
Fractured is a 2019 psychological thriller film in which Sam Worthington plays a desperate father whose search for his missing family in a hospital leads him to question reality and his own sanity.
-
E.
Ruined
Ruined is a Pulitzer Prize–winning play by Lynn Nottage that explores the lives of women in a war-torn African country and the brutal impact of conflict on their bodies and communities.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c481a48190b311d6809808ef1b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b0574d48190b336a6b9a4ada2a8 |
completed | May 1, 2026, 11:14 a.m. |
Created at: April 8, 2026, 9:46 p.m.