Triple
T20358097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rémi Ochlik |
E496702
|
entity |
| Predicate | workedFor |
P1910
|
FINISHED |
| Object |
IP3 Press
IP3 Press is a French photojournalism agency known for representing conflict and news photographers such as Rémi Ochlik.
|
E1426806
|
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: IP3 Press | Statement: [Rémi Ochlik, workedFor, IP3 Press]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IP3 Press Context triple: [Rémi Ochlik, workedFor, IP3 Press]
-
A.
Ecco Press
Ecco Press is an American publishing imprint known for literary fiction, poetry, and high-quality nonfiction.
-
B.
IPA III
IPA III is the European Union’s current funding instrument that supports pre-accession assistance to candidate and potential candidate countries for EU membership.
-
C.
IPI
IPI was a British intelligence organization that monitored and reported on political activities and nationalist movements in colonial India.
-
D.
IPI
IPI is a clinical tool used to predict prognosis and guide treatment decisions in patients with non-Hodgkin lymphoma based on key risk factors.
-
E.
Mount Press
Mount Press is a mountain peak located within the Sentinel Range of the Ellsworth Mountains in Western Antarctica.
- 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: IP3 Press Triple: [Rémi Ochlik, workedFor, IP3 Press]
Generated description
IP3 Press is a French photojournalism agency known for representing conflict and news photographers such as Rémi Ochlik.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IP3 Press Target entity description: IP3 Press is a French photojournalism agency known for representing conflict and news photographers such as Rémi Ochlik.
-
A.
Ecco Press
Ecco Press is an American publishing imprint known for literary fiction, poetry, and high-quality nonfiction.
-
B.
IPA III
IPA III is the European Union’s current funding instrument that supports pre-accession assistance to candidate and potential candidate countries for EU membership.
-
C.
IPI
IPI was a British intelligence organization that monitored and reported on political activities and nationalist movements in colonial India.
-
D.
IPI
IPI is a clinical tool used to predict prognosis and guide treatment decisions in patients with non-Hodgkin lymphoma based on key risk factors.
-
E.
Mount Press
Mount Press is a mountain peak located within the Sentinel Range of the Ellsworth Mountains in Western Antarctica.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67855c3a88190b88839a47d01184d |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087083b5108190a94f0a9dc405904c |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a0870fd8b8c8190ac7ac5d2b0d9e8c4 |
completed | May 16, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a087213a0408190a9b553323d7ced1f |
completed | May 16, 2026, 1:33 p.m. |
Created at: April 16, 2026, 11:25 a.m.