Triple
T18793724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pare Lorentz |
E459579
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Pare
Pare is the given name of Pare Lorentz, an influential American filmmaker and critic known for his New Deal-era documentary films.
|
E1343178
|
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: Pare | Statement: [Pare Lorentz, givenName, Pare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pare Context triple: [Pare Lorentz, givenName, Pare]
-
A.
Parem
Parem is a small island in the central Pacific Ocean that is part of Truk (Chuuk) Atoll in the Federated States of Micronesia.
-
B.
Parè
Parè is a small municipality in the Province of Como in the Lombardy region of northern Italy, near the Swiss border.
-
C.
Paran
Paran is a wilderness region in the Hebrew Bible traditionally located in the northern Sinai or southern Transjordan, associated with Israelite wanderings and prophetic activity.
-
D.
Parap
Parap is an inner-city suburb of Darwin in Australia's Northern Territory, known for its popular weekend markets and tropical, laid-back atmosphere.
-
E.
Parea
Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
- 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: Pare Triple: [Pare Lorentz, givenName, Pare]
Generated description
Pare is the given name of Pare Lorentz, an influential American filmmaker and critic known for his New Deal-era documentary films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pare Target entity description: Pare is the given name of Pare Lorentz, an influential American filmmaker and critic known for his New Deal-era documentary films.
-
A.
Parem
Parem is a small island in the central Pacific Ocean that is part of Truk (Chuuk) Atoll in the Federated States of Micronesia.
-
B.
Parè
Parè is a small municipality in the Province of Como in the Lombardy region of northern Italy, near the Swiss border.
-
C.
Paran
Paran is a wilderness region in the Hebrew Bible traditionally located in the northern Sinai or southern Transjordan, associated with Israelite wanderings and prophetic activity.
-
D.
Parap
Parap is an inner-city suburb of Darwin in Australia's Northern Territory, known for its popular weekend markets and tropical, laid-back atmosphere.
-
E.
Parea
Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a01cc0c0819098ef4326e82ff524 |
completed | April 20, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05472071b88190a74e18be8699f0c6 |
completed | May 14, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_6a054a44f0a8819089ebe23231d04ab8 |
completed | May 14, 2026, 4:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a054ac3e8a88190981789df1790774e |
completed | May 14, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:53 a.m.