Triple
T30070958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 100 Girls |
E764180
|
entity |
| Predicate | characterPlayedBy Larisa Oleynik |
P195394
|
FINISHED |
| Object |
Wendy
Wendy is a character from the teen comedy film "100 Girls," portrayed by actress Larisa Oleynik.
|
E1898315
|
NE FINISHED |
How this triple was built (3 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: Wendy | Statement: [100 Girls, characterPlayedBy Larisa Oleynik, Wendy]
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: Wendy Triple: [100 Girls, characterPlayedBy Larisa Oleynik, Wendy]
Generated description
Wendy is a character from the teen comedy film "100 Girls," portrayed by actress Larisa Oleynik.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPlayedBy Larisa Oleynik Context triple: [100 Girls, characterPlayedBy Larisa Oleynik, Wendy]
-
A.
characterPlayedBy Emmanuelle Chriqui
Indicates that the role or character in question is portrayed or acted by Emmanuelle Chriqui.
-
B.
characterPlayedBy Shirley Eaton
Indicates that a specific character is portrayed or acted by Shirley Eaton.
-
C.
characterVoicedBy Paget Brewster
Indicates that a character is voiced by Paget Brewster.
-
D.
characterPlayedByKathleenQuinlan
Indicates that a given character is portrayed or acted by Kathleen Quinlan.
-
E.
characterPlayedBy Jill Clayburgh
Indicates that the specified character is portrayed or acted by Jill Clayburgh.
- F. None of above. chosen
Provenance (7 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_69f2247221388190a13a22c47094a0ef |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdd07a34c08190982b8c61c2775cf6 |
completed | May 8, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_6a27431a309481909e7429f7515f6fc4 |
completed | June 8, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_6a2743e893708190a11e3888456906bb |
completed | June 8, 2026, 10:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a274507fa3c819098819c5b1c2c4133 |
completed | June 8, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69fdbd25c7908190b72fca8de7ce503f |
completed | May 8, 2026, 10:38 a.m. |
| PDg | Predicate description generation | batch_69fdd07724f88190a33ec602642d2ea3 |
completed | May 8, 2026, noon |
Created at: April 29, 2026, 7 p.m.