Triple
T13305943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maarten ’t Hart |
E316935
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
De bril
De bril is a literary work by Dutch author Maarten ’t Hart, known for his psychologically rich storytelling and keen observational detail.
|
E1032043
|
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: De bril | Statement: [Maarten ’t Hart, notableWork, De bril]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De bril Context triple: [Maarten ’t Hart, notableWork, De bril]
-
A.
Stadtbrille
Stadtbrille is a distinctive historic bridge and city gate in Amberg, Germany, known for its archways reflected in the river like a pair of spectacles.
-
B.
Spectacles
Spectacles are Snap Inc.’s camera-equipped smart glasses designed to capture photos and videos hands-free for sharing on Snapchat.
-
C.
Looking Glass
Looking Glass is a masked vigilante and member of Tulsa's police force in the HBO series "Watchmen," known for his reflective mask and keen interrogative skills.
-
D.
Looking Glass
"Looking Glass" is a song by the American rock band Radio.
-
E.
Looking Glass
Looking Glass was a prominent Nez Perce leader and war chief who played a key strategic role during the Nez Perce War of 1877.
- 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: De bril Triple: [Maarten ’t Hart, notableWork, De bril]
Generated description
De bril is a literary work by Dutch author Maarten ’t Hart, known for his psychologically rich storytelling and keen observational detail.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De bril Target entity description: De bril is a literary work by Dutch author Maarten ’t Hart, known for his psychologically rich storytelling and keen observational detail.
-
A.
Stadtbrille
Stadtbrille is a distinctive historic bridge and city gate in Amberg, Germany, known for its archways reflected in the river like a pair of spectacles.
-
B.
Spectacles
Spectacles are Snap Inc.’s camera-equipped smart glasses designed to capture photos and videos hands-free for sharing on Snapchat.
-
C.
Looking Glass
Looking Glass is a masked vigilante and member of Tulsa's police force in the HBO series "Watchmen," known for his reflective mask and keen interrogative skills.
-
D.
Looking Glass
"Looking Glass" is a song by the American rock band Radio.
-
E.
Looking Glass
Looking Glass was a prominent Nez Perce leader and war chief who played a key strategic role during the Nez Perce War of 1877.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a76adc8190ab9abcdb79a21ca8 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e3617081909eea9989cf5e7b30 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f7179da5488190a10acadbf60ea470 |
completed | May 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f71847e7308190ac6f59a7dcafa452 |
completed | May 3, 2026, 9:41 a.m. |
Created at: April 9, 2026, 9:28 p.m.