Triple
T6420574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Dano |
E127932
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Gigantic
Gigantic is a 2008 indie romantic comedy film starring Paul Dano as a mattress salesman who pursues international adoption while navigating an unconventional relationship.
|
E592627
|
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: Gigantic | Statement: [Paul Dano, notableWork, Gigantic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gigantic Context triple: [Paul Dano, notableWork, Gigantic]
-
A.
Gigantic
"Gigantic" is an alternative rock song by the Pixies, notable for its prominent bassline and Kim Deal's lead vocals.
-
B.
Giant
"Giant" is a 1956 American epic Western drama film, co-starring Elizabeth Taylor, Rock Hudson, and James Dean, that explores themes of family, wealth, and social change in Texas over several decades.
-
C.
Groß
Groß is a German surname most notably borne by the influential Dadaist and New Objectivity painter and caricaturist George Grosz.
-
D.
Mega
"Mega" is a hip-hop album by Queensbridge rapper Cormega, showcasing his reflective lyricism and gritty street narratives.
-
E.
Mega
Mega is a major Chilean free-to-air television network known for its wide range of news, entertainment, and telenovela programming.
- 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: Gigantic Triple: [Paul Dano, notableWork, Gigantic]
Generated description
Gigantic is a 2008 indie romantic comedy film starring Paul Dano as a mattress salesman who pursues international adoption while navigating an unconventional relationship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gigantic Target entity description: Gigantic is a 2008 indie romantic comedy film starring Paul Dano as a mattress salesman who pursues international adoption while navigating an unconventional relationship.
-
A.
Gigantic
"Gigantic" is an alternative rock song by the Pixies, notable for its prominent bassline and Kim Deal's lead vocals.
-
B.
Giant
"Giant" is a 1956 American epic Western drama film, co-starring Elizabeth Taylor, Rock Hudson, and James Dean, that explores themes of family, wealth, and social change in Texas over several decades.
-
C.
Groß
Groß is a German surname most notably borne by the influential Dadaist and New Objectivity painter and caricaturist George Grosz.
-
D.
Mega
"Mega" is a hip-hop album by Queensbridge rapper Cormega, showcasing his reflective lyricism and gritty street narratives.
-
E.
Mega
Mega is a major Chilean free-to-air television network known for its wide range of news, entertainment, and telenovela programming.
- 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06902ddb48190bd5a8b5ecdf6c39e |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640d5f6f88190963a1e59400c7aa0 |
completed | March 27, 2026, 8:33 a.m. |
| NEDg | Description generation | batch_69c6428e44108190b7cb592a05b4acbb |
completed | March 27, 2026, 8:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64343c19c8190b05ef4450aadcbd1 |
completed | March 27, 2026, 8:43 a.m. |
Created at: March 22, 2026, 4:43 p.m.