Triple
T16627987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Weinstein |
E404000
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Ghost |
unclear NED1
|
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: Ghost | Statement: [Lisa Weinstein, workedOn, Ghost]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ghost Context triple: [Lisa Weinstein, workedOn, Ghost]
-
A.
Ghost
"Ghost" is a song by the English rock band The Police, featured on their 1981 album "Ghost in the Machine."
-
B.
Ghost
"Ghost" is a supernatural-themed television series that follows the eerie and often emotional encounters between the living and lingering spirits.
-
C.
Ghost
Ghost is a mysterious and highly skilled special forces operative from the Call of Duty: Modern Warfare series, recognizable by his skull-patterned balaclava and covert operations role.
-
D.
Ghost
"Ghost" is an electropop song by American singer Halsey that served as her breakout debut single and introduced her dark, confessional style.
-
E.
Ghost
Ghost is the central protagonist of the film "Lowriders," a talented but troubled street artist navigating family tensions and Los Angeles car culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e2683481908c9a5ed895a09a6e |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084b7b94481909dfc0dd7b009a5b4 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:17 a.m.