Triple
T7143273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rita Tushingham |
E166501
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Girl with Green Eyes
Girl with Green Eyes is a 1964 British drama film, adapted from Edna O’Brien’s novel, about a shy Irish country girl’s complicated romance in Dublin.
|
E644826
|
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: Girl with Green Eyes | Statement: [Rita Tushingham, notableWork, Girl with Green Eyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girl with Green Eyes Context triple: [Rita Tushingham, notableWork, Girl with Green Eyes]
-
A.
Green Eyes
"Green Eyes" is a soulful, jazz-inflected R&B song by Erykah Badu from her acclaimed album *Mama’s Gun*, noted for its emotional vulnerability and evolving three-part structure.
-
B.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
-
C.
Of the Girl
"Of the Girl" is a moody, atmospheric rock song by Pearl Jam from their 2000 album "Binaural."
-
D.
The Girl Was Young
The Girl Was Young is a song by British rock musician Ian Hunter, known for its reflective lyrics and melodic rock style.
-
E.
Looking for the Girl
"Looking for the Girl" is a short story by Neil Gaiman, featured in his collection *Smoke and Mirrors*, that blends dark fantasy with themes of obsession and memory.
- 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: Girl with Green Eyes Triple: [Rita Tushingham, notableWork, Girl with Green Eyes]
Generated description
Girl with Green Eyes is a 1964 British drama film, adapted from Edna O’Brien’s novel, about a shy Irish country girl’s complicated romance in Dublin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Girl with Green Eyes Target entity description: Girl with Green Eyes is a 1964 British drama film, adapted from Edna O’Brien’s novel, about a shy Irish country girl’s complicated romance in Dublin.
-
A.
Green Eyes
"Green Eyes" is a soulful, jazz-inflected R&B song by Erykah Badu from her acclaimed album *Mama’s Gun*, noted for its emotional vulnerability and evolving three-part structure.
-
B.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
-
C.
Of the Girl
"Of the Girl" is a moody, atmospheric rock song by Pearl Jam from their 2000 album "Binaural."
-
D.
The Girl Was Young
The Girl Was Young is a song by British rock musician Ian Hunter, known for its reflective lyrics and melodic rock style.
-
E.
Looking for the Girl
"Looking for the Girl" is a short story by Neil Gaiman, featured in his collection *Smoke and Mirrors*, that blends dark fantasy with themes of obsession and memory.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d027d0819088598b2a9f71b1b7 |
completed | March 27, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ad98576481908b8b82f675079fca |
completed | March 28, 2026, 10:29 a.m. |
| NEDg | Description generation | batch_69c7ae1bde448190b546d292d213c8c9 |
completed | March 28, 2026, 10:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ae73e1a88190a18488b3155b2542 |
completed | March 28, 2026, 10:33 a.m. |
Created at: March 27, 2026, 2:46 p.m.