Triple
T9820446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary-Louise Parker |
E238515
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Boys on the Side
Boys on the Side is a 1995 American road-trip dramedy film about three women forging an unlikely friendship while traveling across the United States.
|
E823817
|
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: Boys on the Side | Statement: [Mary-Louise Parker, notableWork, Boys on the Side]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boys on the Side Context triple: [Mary-Louise Parker, notableWork, Boys on the Side]
-
A.
One of the Boys
"One of the Boys" is the 2008 major-label breakthrough pop album by Katy Perry, featuring hits like "I Kissed a Girl" and "Hot n Cold" that established her international fame.
-
B.
This Boy
"This Boy" is a memoir by British politician Alan Johnson that recounts his impoverished childhood in post-war London.
-
C.
Like a Boy
"Like a Boy" is a 2007 R&B single by Ciara that explores gender double standards in relationships through a role-reversal concept and assertive lyrics.
-
D.
Dear Boy
"Dear Boy" is a song by the Indian musician Ram.
-
E.
This Side
"This Side" is a Grammy-winning progressive bluegrass and folk album by the American trio Nickel Creek, noted for its intricate musicianship and genre-blending sound.
- 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: Boys on the Side Triple: [Mary-Louise Parker, notableWork, Boys on the Side]
Generated description
Boys on the Side is a 1995 American road-trip dramedy film about three women forging an unlikely friendship while traveling across the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boys on the Side Target entity description: Boys on the Side is a 1995 American road-trip dramedy film about three women forging an unlikely friendship while traveling across the United States.
-
A.
One of the Boys
"One of the Boys" is the 2008 major-label breakthrough pop album by Katy Perry, featuring hits like "I Kissed a Girl" and "Hot n Cold" that established her international fame.
-
B.
This Boy
"This Boy" is a memoir by British politician Alan Johnson that recounts his impoverished childhood in post-war London.
-
C.
Like a Boy
"Like a Boy" is a 2007 R&B single by Ciara that explores gender double standards in relationships through a role-reversal concept and assertive lyrics.
-
D.
Dear Boy
"Dear Boy" is a song by the Indian musician Ram.
-
E.
This Side
"This Side" is a Grammy-winning progressive bluegrass and folk album by the American trio Nickel Creek, noted for its intricate musicianship and genre-blending sound.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb313134081908eb0ba3a22b22e2b |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc78ffcc8190bb26a224350376dc |
completed | April 5, 2026, 2:44 a.m. |
| NEDg | Description generation | batch_69d1cd8e7c548190bc3f10004db80925 |
completed | April 5, 2026, 2:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ce1aead081908da4a85ded350c17 |
completed | April 5, 2026, 2:51 a.m. |
Created at: March 30, 2026, 8:31 p.m.