Triple
T764813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heraclitus |
E16150
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
the Dark
The Dark was a sobriquet for the ancient Greek philosopher Heraclitus, reflecting his notoriously obscure and enigmatic style of thought and writing.
|
E90157
|
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: the Dark | Statement: [Heraclitus, nickname, the Dark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Dark Context triple: [Heraclitus, nickname, the Dark]
-
A.
Darkness and Light
"Darkness and Light" is a 2016 R&B and soul studio album by John Legend that explores themes of love, social justice, and personal reflection.
-
B.
Darkness and Light
Darkness and Light is a musical artist or group known for performing the song "Right By You (for Luna)."
-
C.
The Night
The Night is a haunting Expressionist painting by Max Beckmann that depicts the brutal terror and psychological trauma of a violent home invasion.
-
D.
Conversations in the Dark
"Conversations in the Dark" is a romantic R&B ballad by John Legend, known for its intimate lyrics and soulful vocals.
-
E.
Blacker
Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
- 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: the Dark Triple: [Heraclitus, nickname, the Dark]
Generated description
The Dark was a sobriquet for the ancient Greek philosopher Heraclitus, reflecting his notoriously obscure and enigmatic style of thought and writing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: the Dark Target entity description: The Dark was a sobriquet for the ancient Greek philosopher Heraclitus, reflecting his notoriously obscure and enigmatic style of thought and writing.
-
A.
Darkness and Light
"Darkness and Light" is a 2016 R&B and soul studio album by John Legend that explores themes of love, social justice, and personal reflection.
-
B.
Darkness and Light
Darkness and Light is a musical artist or group known for performing the song "Right By You (for Luna)."
-
C.
The Night
The Night is a haunting Expressionist painting by Max Beckmann that depicts the brutal terror and psychological trauma of a violent home invasion.
-
D.
Conversations in the Dark
"Conversations in the Dark" is a romantic R&B ballad by John Legend, known for its intimate lyrics and soulful vocals.
-
E.
Blacker
Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a69dfeb08190b54a476cfa66e6d6 |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a65e46d86c81908bc0ea469ccb091d |
completed | March 3, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69a65eeaa34481909b0deac860fbadfc |
completed | March 3, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a65f7b09b08190bf38f02a912b2276 |
completed | March 3, 2026, 4:11 a.m. |
Created at: March 1, 2026, 7:37 p.m.