Triple
T14874029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transamerica |
E349820
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Linda Moran
Linda Moran is a film producer known for her work on the critically acclaimed independent drama "Transamerica."
|
E1399126
|
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: Linda Moran | Statement: [Transamerica, producer, Linda Moran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Moran Context triple: [Transamerica, producer, Linda Moran]
-
A.
Linda Martin
Linda Martin is an Irish singer and television presenter best known for her multiple appearances at the Eurovision Song Contest, including a win in 1992.
-
B.
Linda Jones
Linda Jones is the daughter of legendary American animator and director Chuck Jones, known for helping preserve and promote his artistic legacy.
-
C.
Linda Voss
Linda Voss is the courageous American legal secretary-turned-spy who infiltrates Nazi Germany in the World War II espionage drama "Shining Through."
-
D.
Linda Stokes
Linda Stokes is an American costume designer best known for her long-term marriage to actor James Caan.
-
E.
Linda Wallem
Linda Wallem is an American television writer, producer, and actress best known for co-creating the acclaimed medical dramedy series "Nurse Jackie."
- 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: Linda Moran Triple: [Transamerica, producer, Linda Moran]
Generated description
Linda Moran is a film producer known for her work on the critically acclaimed independent drama "Transamerica."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linda Moran Target entity description: Linda Moran is a film producer known for her work on the critically acclaimed independent drama "Transamerica."
-
A.
Linda Martin
Linda Martin is an Irish singer and television presenter best known for her multiple appearances at the Eurovision Song Contest, including a win in 1992.
-
B.
Linda Jones
Linda Jones is the daughter of legendary American animator and director Chuck Jones, known for helping preserve and promote his artistic legacy.
-
C.
Linda Voss
Linda Voss is the courageous American legal secretary-turned-spy who infiltrates Nazi Germany in the World War II espionage drama "Shining Through."
-
D.
Linda Stokes
Linda Stokes is an American costume designer best known for her long-term marriage to actor James Caan.
-
E.
Linda Wallem
Linda Wallem is an American television writer, producer, and actress best known for co-creating the acclaimed medical dramedy series "Nurse Jackie."
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e3e5d48190a132f2cf012b01e2 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d41e00d88190a0cf2c1dd598f551 |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d81e5bc881909b109afa7cf71384 |
completed | May 16, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d91c50648190a2a9f13daad545fd |
completed | May 16, 2026, 2:40 a.m. |
Created at: April 10, 2026, 1:55 a.m.