Triple
T9213406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnie Driver |
E221180
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Speechless
Speechless is a 1994 romantic comedy film starring Geena Davis and Michael Keaton as rival political speechwriters who fall in love during a heated campaign.
|
E664938
|
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: Speechless | Statement: [Minnie Driver, notableWork, Speechless]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Speechless Context triple: [Minnie Driver, notableWork, Speechless]
-
A.
Speechless
"Speechless" is a romantic R&B ballad by Beyoncé featured on her debut solo album, Dangerously in Love.
-
B.
Speechless
"Speechless" is a powerful ballad performed by Princess Jasmine in Disney's 2019 live-action adaptation of Aladdin, expressing her determination to speak out and claim her agency.
-
C.
Speechless
"Speechless" is a popular country-pop ballad by American duo Dan + Shay, widely recognized for its romantic theme and strong chart performance.
-
D.
Speechless
"Speechless" is a 1994 romantic comedy film about two rival political speechwriters who fall in love during a heated election campaign.
-
E.
Unspoken
Unspoken is a song by American singer-songwriter Matt Morris, known for its introspective lyrics and soulful pop style.
- 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: Speechless Triple: [Minnie Driver, notableWork, Speechless]
Generated description
Speechless is a 1994 romantic comedy film starring Geena Davis and Michael Keaton as rival political speechwriters who fall in love during a heated campaign.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Speechless Target entity description: Speechless is a 1994 romantic comedy film starring Geena Davis and Michael Keaton as rival political speechwriters who fall in love during a heated campaign.
-
A.
Speechless
"Speechless" is a romantic R&B ballad by Beyoncé featured on her debut solo album, Dangerously in Love.
-
B.
Speechless
"Speechless" is a powerful ballad performed by Princess Jasmine in Disney's 2019 live-action adaptation of Aladdin, expressing her determination to speak out and claim her agency.
-
C.
Speechless
"Speechless" is a popular country-pop ballad by American duo Dan + Shay, widely recognized for its romantic theme and strong chart performance.
-
D.
Speechless
chosen
"Speechless" is a 1994 romantic comedy film about two rival political speechwriters who fall in love during a heated election campaign.
-
E.
Unspoken
Unspoken is a song by American singer-songwriter Matt Morris, known for its introspective lyrics and soulful pop style.
- F. None of above.
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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda05406081909893bec3a092d3ce |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d06613daf88190a0128fd53ea1b134 |
completed | April 4, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_69d0678b89ac8190b807e1c3b457a503 |
completed | April 4, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0688d4c388190bb024b03cc86d08f |
completed | April 4, 2026, 1:25 a.m. |
Created at: March 30, 2026, 7:27 p.m.