Triple
T2246304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samantha Womack |
E49511
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object |
Strange
"Strange" is a British television series featuring Samantha Womack in a leading role, centered around supernatural and occult investigations.
|
E246855
|
NE FINISHED |
How this triple was built (4 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: Strange | Statement: [Samantha Womack, appearedIn, Strange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strange Context triple: [Samantha Womack, appearedIn, Strange]
-
A.
Strange
Strange is a given name or middle name of English origin that has historically appeared in aristocratic and notable British families.
-
B.
Odd
Odd is a Norwegian given name, notably borne by Nobel Prize–winning chemist Odd Hassel.
-
C.
Strangeland
Strangeland is a song by the American rock band Green Day from their early compilation album "Kerplunk."
-
D.
Perfect Stranger
Perfect Stranger is a 2007 psychological thriller film starring Halle Berry and Bruce Willis that explores themes of identity, deception, and online anonymity.
-
E.
Surprise
Surprise is a rapidly growing suburban city in Maricopa County, Arizona, known for its residential communities, recreation facilities, and role as a spring training destination for Major League Baseball teams.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Strange Triple: [Samantha Womack, appearedIn, Strange]
Generated description
"Strange" is a British television series featuring Samantha Womack in a leading role, centered around supernatural and occult investigations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Strange Target entity description: "Strange" is a British television series featuring Samantha Womack in a leading role, centered around supernatural and occult investigations.
-
A.
Strange
Strange is a given name or middle name of English origin that has historically appeared in aristocratic and notable British families.
-
B.
Odd
Odd is a Norwegian given name, notably borne by Nobel Prize–winning chemist Odd Hassel.
-
C.
Strangeland
Strangeland is a song by the American rock band Green Day from their early compilation album "Kerplunk."
-
D.
Perfect Stranger
Perfect Stranger is a 2007 psychological thriller film starring Halle Berry and Bruce Willis that explores themes of identity, deception, and online anonymity.
-
E.
Surprise
Surprise is a rapidly growing suburban city in Maricopa County, Arizona, known for its residential communities, recreation facilities, and role as a spring training destination for Major League Baseball teams.
- F. None of above. chosen
Provenance (5 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ea75d881909d4e176a432f32e8 |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b147b388190a20a604cc176191f |
completed | March 9, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69ae6b9edb688190a4e6e4a4ddf964f3 |
completed | March 9, 2026, 6:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6bfbb6cc81909d647b3875450b4b |
completed | March 9, 2026, 6:43 a.m. |
Created at: March 4, 2026, 7:47 p.m.